Team Portfolio
Our team specializes in model training, task & evaluation creation for SOTA models, dataset generation, and real-world benchmark development including Terminal-Bench, OSWorld, and SWE-Bench. We work with companies to create tasks and evaluations that break state-of-the-art models and train them on real-world problems.
19
Team Members
70+
Combined Years of Experience
10+
Tech Domains Covered
15+
Enterprise Clients Served
1. Pragnasya S.
Engineering Manager | Turing | LLM Evaluation & Delivery Automation
~3 Years Experience
🎓 Education
  • B.E. in Engineering
  • RMK Engineering College, Chennai (Aug 2019 - Apr 2023)
🏆 Key Highlights
  • Engineering Manager at Turing, leading multiple Pods across RLHF, SFT, and evaluation workflows.
  • Designed and implemented automated validation checks, structured QA pipelines, and task-verification workflows to reduce manual review overhead.
  • Integrated AI-assisted tooling to streamline task creation, review, and feedback loops.
  • Led SWE-Bench and Code Evaluation projects for model training, designing pipelines to extract structured JSON from GitHub PRs.
  • Prototyped a GPT-style multi-turn evaluation interface using Streamlit for interactive testing.
  • Built an AI-powered document generation pipeline (Python + LLMs) for structured, client-ready reports.
💻 Technical Skills
Languages: Python JavaScript TypeScript SQL Bash
AI/ML: LLMs RLHF SFT Prompt Engineering RAG AI Model Development Machine Learning
Frontend: React.js Next.js AngularJS Svelte Tailwind CSS Bootstrap
Backend: Flask Express.js FastAPI RESTful APIs OpenAI API
Databases: MySQL MongoDB
DevOps: Azure CI/CD GitHub Actions Zabbix iTop
💼 Work Experience
Engineering Manager
Turing | Remote
Nov 2025 - Present
  • Lead multiple Pods across RLHF, SFT, and evaluation workflows, ensuring high-quality, client-ready deliverables under tight timelines.
  • Designed and implemented automated validation checks, structured QA pipelines, and task-verification workflows to reduce manual review overhead.
  • Integrated AI-assisted tooling to streamline task creation, review, and feedback loops.
  • Drive workflow optimization across teams by identifying bottlenecks, standardizing best practices, and aligning execution with evolving client requirements.
  • Act as primary escalation and decision point for technical correctness, guideline interpretation, and delivery risk mitigation.
Pod Lead
Turing | Remote
Jun 2025 - Oct 2025
  • Led SWE-Bench and Code Evaluation projects for model training, designing pipelines to extract structured JSON from GitHub pull requests with rigorous selection criteria.
  • Oversaw multi-turn SFT and RLHF evaluation reviews ensuring correct formatting, context management, and rubric compliance.
  • Supervised both structured and unstructured tasks, including single-turn and multi-turn evaluations.
  • Mentored trainers and reviewers, improving evaluation accuracy and reducing rework rates across the Pod.
Research & Development Engineer
Turing | Remote
Jun 2025 - Sep 2025
  • Designed adversarial and multi-turn evaluation tasks across key challenge categories: instruction retention, inference memory, reliable version editing, and self-coherence.
  • Prototyped a GPT-style multi-turn evaluation interface using Streamlit for interactive testing and analysis.
  • Built an AI-powered document generation pipeline (Python + LLMs) that consumed prompts, responses, rubric scores, and failure modes to generate structured, client-ready reports.
  • Produced reproducible benchmarks, failing cases, and improvement examples used for downstream fine-tuning and evaluation.
LLM Engineer - SFT Trainer
Turing | Remote
Sep 2024 - Aug 2025
  • Designed and validated end-to-end supervised fine-tuning tasks, including multi-turn conversations, code-based solutions, and test cases.
  • Built Colab-based pipelines covering prompt design, dataset packaging, and automated test execution.
  • Generated, curated, and annotated high-quality training data across multiple domains and constraints.
  • Tracked chain-of-thought patterns to identify recurring failure modes and inform dataset improvements.
Jr. Software Engineer
Nine Softech | Hyderabad, India
Jun 2024 - Oct 2024
  • Designed and developed full-stack web applications using React.js, Next.js, Tailwind CSS, Express.js, and FastAPI.
  • Built scalable, responsive UIs and implemented RESTful APIs for client-specific features and business logic.
  • Delivered a complete transportation management platform, optimizing performance and UI/UX across devices.
Technical Consultant - Intern
Kaar Tech | Chennai, India
Aug 2022 - Apr 2024
  • Completed SAP training and Digiverz Program, gaining hands-on experience in Angular, React, Flask, MongoDB, and Power BI.
  • Built CI/CD pipelines using GitHub for efficient deployment and testing workflows.
  • Integrated Zabbix monitoring system with iTop for streamlined incident and asset management.
  • Created dynamic PDF generation features and built a functional chatbot using Express.js. Received 98% client satisfaction rating.
2. Naveen K.
AI Engineer | Turing | Terminal & OS Interaction Benchmarking
~2.5 Years Experience
🎓 Education
  • B.Tech in Computer Science Engineering
  • Manipal University Jaipur (Sep 2020 – Jul 2024)
🏆 Key Highlights
  • Oracle Tier Contributor (Top 1%) at Outlier, elite recognition for AI evaluation quality.
  • Senior Reviewer leading LLM evaluation audits across multiple programming languages.
  • Built large-scale OS interaction benchmarks for autonomous AI agents.
  • Automated OSWorld task authoring pipeline, significantly reducing manual effort in task creation and environment setup.
  • Designed automated task calibration workflows to reduce delivery time and streamline the reviewing process for efficiency.
  • Built end-to-end automation scripts (Python/Bash) for containerized benchmark environments, reproducible evaluations, and CI-driven quality checks.
💻 Technical Skills
Languages: C++ Python Go
AI/ML: PyTorch TensorFlow Scikit-learn Hugging Face RLHF SFT Prompt Engineering Model Evaluation Bias Reduction
Technologies: AWS Docker Kubernetes React.js Power Automate Power App
Tools: VS Code Cursor Git GitHub Postman
Automation: Containerized Environments Automation Scripting (Python/Bash) CLI Interactions
💼 Work Experience
AI Engineer | Terminal and OS Interaction Benchmarking
Turing | Remote
Oct 2025 – Present
  • Built and validated large-scale OS interaction evaluation benchmarks for autonomous agents by designing non-trivial task specifications, deterministic environment setups, and exploit-resistant evaluators.
  • Contributed to creating Advanced CLI tasks designed to evaluate technical reasoning and problem-solving capabilities in AI systems, ensuring clarity, consistency, and high engineering standards.
AI Trainer & Prompt Engineer | Oracle Tier Contributor (Top 1%)
Outlier | Remote
Aug 2024 – Oct 2025
  • Achieved Oracle Tier Contributor status (top 1%) for consistently delivering high-quality AI evaluations, including prompt engineering, rubric design, and failure mode analysis across real-world codebases (Go, React, Python, C++).
  • Promoted to Senior Reviewer on different projects, leading LLM evaluation audits on code generation, scalability risks, concurrency patterns, and control flow mapping, improving rubric precision by over 50%.
Power App Developer
Celebal Technologies | Internship
May 2023 – Jul 2023
  • Executed 10+ hands-on projects, including geofence, CRUD, forms, and dashboard-based apps.
  • Automating 40% of business processes to enhance efficiency and productivity.
Salesforce Developer (Virtual) | Trailblazer, Developer Super Set
Deloitte
May 2023 – Jul 2023
  • Earned the capstone credential by gaining skills across Apex programming, process automation, and screen flow management.
🚀 Projects
  • Robot Navigation System: Python, A* Pathfinding, Pygame, ML, Achieved 95% accuracy in optimal route calculation in a grid-based warehouse environment with real-time obstacle detection. Created visual simulation with live updates.
📜 Certifications
Generative AI with LLMs, AWS & DeepLearning.AI Python for Data Science, AI & Development, IBM PCAP: Python, Cisco & OpenEDG Salesforce Developer Super Set AWS Academy Cloud Foundations
3. Girish H.
Senior Full Stack Developer & LLM Trainer/Evaluator
13+ Years Experience
🎓 Education
  • Engineering Graduate
  • AI Engineering Accelerator Program, Outskill (Dec 2025)
🏆 Key Highlights
  • 13+ years spanning Pharma, Banking, Telecom, and IoT domains.
  • Employee of the Month awardee. Selected for leadership training programs.
  • Led LLM evaluation across OSWorld, Terminal-Bench, and SWE-Bench.
  • Worked with top-tier clients: Labcorp, Santander, Wells Fargo, JPMC, Ericsson, Qualcomm.
  • Scrum Master experience leading cross-functional teams.
💻 Technical Skills
Languages: Java (8, 11, 17) Python TypeScript JavaScript SQL Shell/Bash
AI/ML: RLHF SFT AI Agent Dev RAG Systems LangChain LlamaIndex Prompt Engineering AI Alignment & Safety Preference Modeling
Benchmarks: OSWorld Terminal-Bench SWE-Bench Human-in-the-Loop Eval
Cloud & DevOps: AWS Azure Docker Kubernetes Jenkins OpenShift
Frameworks: Spring Boot Angular (7-15) Hibernate/JPA Microservices
Databases: Oracle 11g HBase NuoDB MySQL
Testing: JUnit 4/5 Mockito PowerMock Protractor Jasmine Cypress
Platforms: Linux/Unix macOS Windows
💼 Work Experience
LLM Trainer & Evaluator
Turing (Remote)
Mar 2025 – Present
  • Spearheaded end-to-end training and evaluation of LLMs to enhance reasoning, coding, and tool-use capabilities.
  • Designed and executed RLHF pipelines, crafting preference datasets and optimizing model outputs for alignment, safety, and helpfulness.
  • Performed Supervised Fine-Tuning (SFT) on diverse datasets for complex reasoning and code generation.
  • Led rigorous benchmarking across OSWorld & Terminal Bench (multi-step CLI tasks), and SWE-Bench (real-world GitHub issues).
  • Analyzed evaluation results to generate actionable insights guiding iterative model improvements.
Senior Full Stack Developer
Wissen Infotech, Client: Labcorp Inc. (Pharma)
Oct 2023 – Mar 2025
  • Led Agile team of 7 developers. Architected Spring Boot Microservices using Java 17, increasing scalability by 30%.
  • Delivered Angular 15 UI components improving user engagement by 35%. Achieved 85-90% test coverage.
  • Streamlined Jenkins CI/CD pipeline, reducing deployment time by 40%.
Senior Full Stack Developer
Client: Santander (Banking)
Dec 2021 – Sep 2023
  • Personal Accounts & Core API Platform. Java 11, Spring Boot, Angular 12, Docker/Kubernetes/OpenShift.
  • Increased backend performance by 25%, handled 40% increase in user traffic.
Senior Full Stack Engineer
Client: Wells Fargo (Financial Crimes Platform)
Dec 2020 – Dec 2021
  • AML & financial crimes compliance platform. Migrated 20+ legacy YUI/jQuery components to Angular 10.
Senior Full Stack Developer
Client: JPMC (Client Onboarding Lifecycle Tool)
Apr 2019 – Dec 2020
  • Web-based client onboarding platform on AWS/Pivotal Cloud Foundry. 98% code coverage.
Module Lead & Senior Software Developer
Client: Ericsson
Sep 2016 – Mar 2019
  • Test Results Data Visualization using Java, RabbitMQ, ElasticSearch, Kibana, Linux, AWS. 13M+ test results.
Software Developer / IoT Engineer
Client: Qualcomm
Feb 2012 – Aug 2016
  • IoE Cloud Client Agent, Embedded C, Java, CoAP Protocol, ThreadX RTOS.
  • QChat Client Test automation, Hindi Reader Application (OpenCV, ANN), LTE UE & eNB Simulator.
  • Online Test Taking System, Java/J2EE, Bootstrap, Oracle DB.
4. Fawaz O.
Prompt Engineer / LLM QA & Data Scientist
6+ Years Experience
🎓 Education
  • BSc. Computer Science (Second Class Upper)
  • Babcock University, Nigeria (2018)
🏆 Key Highlights
  • 6+ years as a Data Scientist/ML Engineer across EY, Snapnet, and Turing.
  • Designed multimodal evaluation tasks for GUI & CLI across OSWorld and Terminal-Bench.
  • Analyzed LLM failure modes across GPT-class, Claude-class, and open-source models.
  • Built fraud detection (98% accuracy), churn analytics, and demand forecasting models.
  • Enterprise clients in banking, oil & gas, manufacturing, and financial services.
💻 Technical Skills
Languages: Python SQL
AI/ML: Machine Learning BERT CNN ANN Computer Vision NLP LangChain OpenAI LLMs Prompt Engineering
Tools: PySpark Flask FastAPI Docker Azure ML Power BI Streamlit
Libraries: NumPy Pandas Scikit-Learn Keras
💼 Work Experience
Prompt Engineering - LLM QA
Turing | Remote (Palo Alto, California)
Sep 2024 – Present
  • Designed and iteratively refined prompts to evaluate LLM performance on Python Programming tasks.
  • Developed test cases and benchmarking scripts to assess model accuracy, edge-case handling, and logical consistency.
  • Identified model limitations and failure modes by probing with adversarial prompts.
  • LLM Evaluation & Benchmarking (OSWorld, Terminal-Bench):
  • Designed complex multimodal evaluation tasks covering GUI automation, file operations, scientific computing, and tool-use reasoning.
  • Built deterministic evaluators and test harnesses (Python, Bash, PyTest) to validate strict instruction-execution alignment.
  • Created OSWorld SFT trajectories with pixel-accurate visual grounding across LibreOffice, GIMP, VLC, and Ubuntu tools.
  • Developed Terminal-Bench tasks with Dockerized, reproducible environments enforcing canonical outputs.
  • Analyzed LLM failure modes across GPT-class, Claude-class, and open-source models.
  • Refined evaluator logic using pass@k metrics and reviewer feedback.
Data Scientist / Machine Learning Engineer
Ernest & Young (EY) | Lagos, Nigeria
Oct 2021 – Sep 2024
  • Applied BERT to build high-quality text classification models.
  • Designed and deployed intelligent chatbots using OpenAI's LLMs, LangChain, FastAPI, and Docker.
  • Built fraud detection model for a leading bank using ANN, 98% accuracy, 90% precision.
  • Built CNN model using Error Level Analysis for image spoofing detection, 98% accuracy, 0.9 AUC.
  • Deployed churn analytics solution using Flask and ANN for customer experience team.
  • Created demand forecast model for n-period prediction, deployed using Flask.
Data Scientist
Snapnet | Lagos, Nigeria
Jan 2019 – Oct 2021
  • Built customer attrition model for a major bank, 90 F1 score, deployed on Azure ML Service.
  • Built ML pipelines for sales forecasting, RMSE 0.7, R² of 80%.
  • Integrated millions of records from client source databases to data lake.
  • Developed Power BI dashboards for public sector, oil & gas, manufacturing, financial services.
5. Toygar A.
Pod Lead | LLM Agent Task Design & Review | Python Backend Developer
4+ Years Experience
🎓 Education
  • AS in Computer Programming, Ataturk University (2023)
  • BS in Environmental Engineering, Anadolu University (2010)
🏆 Key Highlights
  • Led 7-person pod for LLM agent task design across Terminal-Bench & OS-World.
  • Python Team Lead of open-source Hypance project (published on PyPI).
  • TensorFlow Developer Certificate from Google.
  • Published technical Python books.
  • EU/US timezone flexible (Turkey-based).
💻 Technical Skills
Backend: Python Django FastAPI REST APIs Microservices
DevOps: Docker GitHub Actions CI/CD TDD
Data: Apache NiFi Data Pipelines E-commerce APIs
AI/Eval: LLM Agent Evaluation pyautogui Terminal-Bench OS-World
Specializations: Legacy System Modernization Production Debugging Backend Refactoring
💼 Work Experience
Pod Lead | LLM Agent Task Design & Review
Turing | Remote
Sep 2025 – Present
  • Led a 7-person pod designing and reviewing evaluation tasks for tool-using LLM agents across terminal and desktop environments.
  • Designed OS-level evaluation tasks using bash and pyautogui, establishing quality standards for deterministic and reproducible test design.
  • Audited tasks across Terminal-Bench (CLI) and OS-World (GUI) frameworks for evaluator correctness, oracle alignment, and test coverage.
  • Identified and repaired structurally broken tasks, improving pipeline reliability.
  • Mentored contributors on task quality and evaluation methodology.
Python Developer
CloudSigma | Remote
Jun 2024 – Jul 2025
  • Owned critical microservice managing infrastructure operations in distributed cloud environment.
  • Designed core features in FastAPI-based backend serving enterprise clients.
  • Built comprehensive testing suite and documentation for system reliability.
Python/Django Developer
Akinon | Remote
Jul 2022 – Jun 2024
  • Developed marketplace integrations processing thousands of daily transactions.
  • Designed Apache NiFi data processing workflows for real-time data transformation.
  • Modernized legacy Django 1.11 systems improving maintainability and performance.
Software Engineer
Plentific | Remote
Feb 2022 – Jul 2022
  • Property management platform APIs for UK market. ERP system refactoring.
Python Developer (Contract)
Independent Client | Istanbul
Aug 2020 – Nov 2021
  • End-to-end Django-based business management system for manufacturing. Automated data pipelines.
📜 Certifications & Publications
TensorFlow Developer Certificate, Google (2023) Technical Mentor, Sisterslab Mentorship Program (2022) Co-author: "OpenCV ve Python" (Book) Co-author: "Yeni Başlayanlar İçin Python" (Book)
6. Kiran V. K.
Delivery Data Analyst / Pod Lead (Meta)
~2 Years Experience
🎓 Education
  • B.Tech in AI & Data Science, 85.90%
  • Easwari Engineering College, Chennai (2020–2024)
  • XII CBSE, 78.60% | XI CBSE, 84.8% (Velammal Vidyalaya, Chennai)
🏆 Key Highlights
  • Top-performing trainer for complex LLM projects at Meta, Apple, and Alibaba.
  • Pod Lead for Meta, manages end-to-end task assignment, QA, and delivery.
  • Contributed to TerminalBench and OSWorld benchmarks.
  • Published research paper on AI-enhanced fitness tracking (IRJET).
🔗 Competitive Programming
🏅 HackerRank: 5★ Python | 5★ SQL
💻 Technical Skills
Programming: Python SQL JavaScript
AI/ML: Machine Learning Deep Learning SFT RLHF
Tools: Tableau MS Excel MS PowerPoint
💼 Work Experience
Delivery Data Analyst / Pod Lead
Turing
Aug 2024 – Present
  • Top-performing trainer: Delivered high-accuracy training/evaluation on complex LLM projects for Meta, Apple, and Alibaba.
  • Focus on edge cases, long-context reasoning, and strict instruction adherence.
  • Pod Lead (Meta): Led pod execution end-to-end, task assignment, daily QA, escalation handling, and on-time delivery.
  • SWE-skill projects: Contributed to code-and-tooling heavy benchmarks including TerminalBench and OSWorld.
  • Complex visualization (Meta): Worked on high-difficulty visualization understanding/verification tasks.
Machine Learning Intern
CyberSnow
Feb 2024 – Apr 2024
  • Developed a chatbot leveraging OCR and NLP technologies to analyze PDFs and facilitate interactive queries.
  • Utilized deep learning techniques for efficient data extraction from PDFs and web sources.
🚀 Projects
  • Visual Dashboard for Report Analysis (Tableau)
  • Face Recognition using Python
  • Neural Network and CNN Model using Python
  • Classification of Arrhythmia (Medical Data ML)
  • Chatbot Powered by AI (LLM-based)
📜 Certifications & Achievements
Python for Data Science (Advanced), DataCamp Creative Problem Solving, ICT & Udemy Digital Marketing & SEO, Skillshop
  • Publication: 'Enhanced Fitness Tracking using AI&ML' approved by IRJET
  • Students Council: Head of Photography (2022), Department Ambassador (2022–2024), Department Treasurer (2023)
7. Kartik R.
Team Lead | LLM Scientific Computing | Python Developer
~2 Years Experience
🎓 Education
  • B.Tech in Computer & Communication Engineering, CGPA: 7.88
  • Manipal University Jaipur (2020–2024)
  • Higher Secondary, GPA: 8.4 (Puna International School, Ahmedabad)
🏆 Key Highlights
  • Team Lead designing adversarial tasks and benchmark datasets for SOTA models.
  • Amazon ML Summer School alumnus, comprehensive ML training.
  • Core Member of Randomize MUJ(), hosted 5+ coding events and workshops.
💻 Technical Skills
Languages: Python RDBMS OOP
ML Libraries: Pandas Matplotlib Scikit-learn Keras NumPy
Tools: Git/GitHub VS Code MySQL Excel Jupyter Notebook Docker
💼 Work Experience
Team Lead | LLM Scientific Computing
Turing | Remote
Sep 2025 – Present
  • Leading a team focused on advancing LLM capabilities through scientific computing tasks designed to challenge SOTA models.
  • Mentoring and training team members in LLM fine-tuning, evaluation, and research best practices.
  • Overseeing development of complex experiments using Docker containers and VS Code for reproducibility and scalability.
  • Collaborating on designing adversarial tasks, benchmark datasets, and robust pipelines for generative AI.
Python Developer | LLM & SFT Pipelines
Turing | Remote
Jul 2024 – Present
  • Leveraged expertise in LLM, NLP, and Prompt Engineering to design SFT pipelines.
  • Utilized Python, Machine Learning, and Data Analysis to optimize AI model training processes.
Amazon ML Summer School
Amazon
Sep 2023 – Nov 2023
  • Supervised Learning, Deep Neural Networks, Dimensionality Reduction, Unsupervised Learning, Probabilistic Graphical Models, Sequential Learning, Causal Inference, Reinforcement Learning.
Data Science Intern
Unified Mentor
Apr 2024 – Jun 2024
  • Financial Analytics, Heart Disease Diagnostics, FDI Analysis. Exploratory Data Analysis and Predictive Models.
Salesforce Developer Virtual Internship
SmartInternz / Salesforce / AICTE
May 2023 – Jul 2023
  • Salesforce Fundamentals, Process Automation, Apex, Lightning Web Components & API.
🚀 Projects
  • Stock Prediction and Analysis: ML-based system, improved portfolio performance by 22% in 12 months with 78% accuracy. Optimized data workflows by 30%.
  • Attendance System using Real-Time Face Recognition: OpenCV & Haar cascades, 98% accuracy. Reduced identification times by 40%.
📜 Certifications
Software Engineering: Modeling Software Systems using UML, Coursera (HK UST) PCAP: Python, Cisco & OpenEDG Programming for Everybody (Python), Coursera (U of Michigan)
8. Koushik J.
C++/LLM Engineer & Quantitative Researcher
~1.5 Years Experience
🎓 Education
  • B.Tech in Computer Science & Engineering
  • Indian Institute of Information Technology (IIIT), Ranchi (2022–2026)
🏆 Key Highlights
  • Created tasks with 100% model fail rate across 5 AI systems.
  • Top performer (1st/40+) at Mercor, created 70+ AI agent evaluation problems.
  • Candidate Master at Codeforces, 6-Star at CodeChef.
  • AIR 19 in ICPC Chennai Regionals 2025.
  • Captain, Chess Club, IIIT Ranchi.
🔗 Competitive Programming Profiles & Achievements
🏅 Codeforces: Candidate Master (Rating: 1927) 🏅 CodeChef: 6★ (Rating: 2220) 🏅 LeetCode 🏅 GitHub
  • AIR 19 in ICPC Chennai Regionals 2025
  • AIR 2 at SourceCode (Kshitij), IIT-KGP
  • AIR 18 at Codeforces Round 969 (Div-2) out of 28k+ participants
  • Silver Medal representing India at SASMO '18 (Singapore)
💻 Technical Skills
Languages: C++ Python (NumPy/Pandas) JavaScript C Java
Quant & Data: Backtesting Signal Research Time-Series Analysis Performance Metrics
Databases: MongoDB MySQL
Infra: Linux Git Docker CI Multithreading Low-latency techniques
Web: Next.js Prisma React-Quill Gemini API
💼 Work Experience
Quantitative Researcher Intern
OptimusPrime Securities and Research LLP | Bengaluru
Jan 2026 – Present
  • Developing and backtesting mid-frequency algorithmic trading strategies, optimizing for risk-adjusted performance using Sharpe, Calmar, and drawdown-based metrics.
C++/LLM Engineer (Contractor)
Turing | Remote, USA
Jul 2025 – Jan 2026
  • Created 6+ competitive-programming tasks exposing reasoning/code-gen failures with a 100% model fail rate across 5 systems.
  • Built high-performance C++ codes for training/eval pipelines, enabling reproducible stress tests and batch scoring.
  • Collaborated with top-200 competitive programmers and AI Researchers to co-design adversarial tasks.
AI Engineer (Contractor)
Mercor | Remote, USA
Aug 2025 – Sep 2025
  • Created 70+ challenging evaluation problems for autonomous AI agents across diverse technical domains.
  • Automated task creation workflows to achieve 5x-7x productivity gains (3 hours to 30-45 minutes).
  • Awarded top performer (1st among 40+) for quality and delivery excellence.
CP/DSA Mentor
TLE Eliminators (TLE Mentors) | Remote
Jul 2024 – Jun 2025
  • Led weekly coding sessions. Mentored 100+ coders, achieving 70% success rate in improving Codeforces ratings by 200+ points.
🚀 Projects
  • MindInk: Journaling platform with Clerk auth, React-Quill rich text editing (15+ tools), Prisma ORM, 150-400ms CRUD latency. Real-time sentiment analysis with Gemini API, Recharts dashboards, Arcjet rate limiting. Tech: Next.js, Gemini API, Prisma, React-Quill.
9. Shiva S. G.
Python Developer / LLM Engineer
~1.5 Years Experience
🎓 Education
  • B.Tech in Computer Science
  • KL University (2020–2024)
  • Intermediate, Narayana Junior College (2018–2020)
🏆 Key Highlights
  • Contributed to LLM training for Apple, Tencent, Alibaba, and Cursor.
  • Pega Certified Senior System Architect (PCSSA-v8.8).
  • Experience in SFT, RLHF, prompt engineering, dataset creation, and model evaluation.
💻 Technical Skills
Languages: Python Java C C++
AI/ML: Machine Learning LLM Fine-Tuning RLHF Prompt Engineering SFT Model Evaluation
Databases: MySQL MongoDB
Platforms: Pega (PCSA, PCSSA-v8.8)
💼 Work Experience
Python Developer | Freelancer / LLM Engineer
Turing | Remote
Sep 2024 – Present
  • Contributed to LLM training and evaluation pipelines for enterprise clients including Apple, Tencent, Alibaba, and Cursor.
  • Worked on supervised fine-tuning (SFT), RLHF annotation workflows, complex instruction-following tasks, and evaluation test-case creation.
  • Designed and optimized prompts for LLM evaluation and instruction-following tasks.
  • Built Python scripts for dataset validation, testing, and evaluation workflows.
🚀 Projects
  • Code Mixing Translator: Research-based NLP project for translating code-mixed language into a single language.
  • AI Based Obstacle Prevention Tool (AI-OPT): Object-detection system for vehicles to identify obstacles such as sand piles, pits, and rocks.
📜 Certifications
Microsoft Azure Fundamentals Pega Certified Senior System Architect (PCSSA)
10. Ansh J.
Associate Software Engineer | Data Analyst & AI Training Specialist
~1.5 Years Experience
🎓 Education
  • B.Tech in Information Technology, CGPA: 8.26
  • Manipal University Jaipur (2020–2024)
🏆 Key Highlights
  • Handles multi-million event data streams daily at Accenture.
  • 99.9% data quality guarantee for executive reports.
  • AI Training Specialist, annotates and validates datasets for LLM training.
  • Multi-cloud experience across AWS and Azure environments.
  • Healthcare (OhioHealth) and Energy (Halliburton) domain expertise.
🔗 Competitive Programming
🏅 HackerRank: 3★ SQL | 3★ Python
💻 Technical Skills
Programming & Data: Python (Pandas, NumPy) SQL (CTEs, Window Functions) ML Basics
Visualization: Power BI Dashboard Reporting
Databases & Tools: MySQL Jupyter Notebook Excel Kaggle
Other: Generative AI Concepts Data Cleaning Data Validation Automation Scripts AWS Terminal Bench Docker
💼 Work Experience
Associate Software Engineer | OhioHealth Corporation (Healthcare)
Accenture | Indore
Oct 2024 – Present
  • Analyzed system performance across multi-cloud (AWS, Azure) environments, identifying anomalies and critical data patterns.
  • Supported key decision-making by providing technical insights for quarterly operations and compliance strategy.
  • Managed and integrated multiple high-volume data sources for continuous, reliable system data flow.
Associate Software Engineer | Halliburton (Energy Sector)
Accenture | Indore
(Previous Project)
  • Built automated Python scripts to clean, parse, and structure massive operational data streams, handling over millions of events daily.
  • Ensured data reliability with complex SQL checks across the entire pipeline, guaranteeing 99.9% data quality.
  • Standardized team processes by writing comprehensive technical documents.
Data Labeling & AI Training Specialist
Outlier AI | Freelance
2024 – Present
  • Annotated and validated structured and unstructured datasets for AI/ML model training.
  • Performed quality checks to ensure high-accuracy labeled data across NLP and classification tasks.
  • Contributed to improving model performance by identifying inconsistencies in training datasets.
Salesforce Developer (Virtual)
Deloitte
Jul 2023 – Sep 2023
  • CRM data architecture, data management, analytical dashboards for business metrics.
Technical Intern
Intugine | Bengaluru
Dec 2023 – Jan 2024
  • Cleaned and prepared large logistics datasets using Python and SQL. Identified inefficiency patterns in trip data.
📜 Certifications
SQL for Data Science, Coursera Oracle Academy: Database Foundations CCNAv7: Enterprise Networking, Security, and Automation, Cisco
11. Dushyant A.
Senior Software Engineer | Power Platform
4+ Years Experience
🎓 Education
  • Bachelor of Computer Applications (BCA)
  • Rajasthan University (Jun 2019 – May 2022)
🏆 Key Highlights
  • 7 Microsoft certifications including Solution Architect Expert.
  • Oracle Cloud GenAI Certified Professional.
  • 6+ enterprise-level Power Platform applications delivered.
  • Pre-sales technical consulting experience.
  • Integrated OpenAI, Azure OpenAI, and Copilot Studio into enterprise solutions.
💻 Technical Skills
Power Platform: PowerApps Power Automate Copilot Studio
Cloud: Azure Logic Apps Azure Data Factory Azure OpenAI Azure DevOps
Other: Python SSMS SharePoint Online Dynamics 365
💼 Work Experience
Senior Software Engineer
Celebal Technologies Pvt Ltd
Apr 2022 – Present
  • Part of multiple presales activities to understand technical requirements and provide best solutions.
  • Develop and maintain PowerApps applications in alignment with business requirements.
  • Analyze complex technical issues and provide innovative solutions.
  • Conduct thorough code reviews to maintain code quality.
Software Engineer
Celebal Technologies Pvt Ltd
Dec 2020 – Apr 2022
  • Conducted thorough testing, attended team meetings, supported troubleshooting of software-related problems.
  • Demonstrated proactive approach to learning new technologies and coding practices.
🚀 Projects
  • Asset and Fund Management Apps (Oct 2024 – Feb 2025): PowerApps + Snowflake for a global Asset Management firm. Real-time Power BI visualization.
  • Asset Projection and Portfolio Planning Tool (Nov 2024 – Feb 2025): Automated Portfolio Simulation Analysis with audit trails.
  • Resume Ranking Application (Sep 2023 – Dec 2023): Integrated OpenAI's language model for skill/experience relevance assessment.
  • Warehouse Management Application (Mar 2023 – Jan 2025): Finance & operations integration with 2D barcode scanning.
  • Risk Management System (Sep 2021 – Mar 2023): Custom Microservices backend, responsive design.
  • Inventory Management & Attendance Application (Mar 2021 – Aug 2021): Geo-fenced attendance system with Background Timer.
📜 Certifications (7 Microsoft + 1 Oracle)
Microsoft: Power Platform Solution Architect Expert Microsoft: Power Platform Developer Associate Microsoft: Power Platform Functional Consultant Associate Microsoft: Power Platform App Maker Associate Microsoft: Azure Fundamentals Microsoft: Power Platform Fundamentals Oracle Cloud Infrastructure 2024 Generative AI Certified Professional
12. Shruti G.
Software Developer | Full Stack & AI Features
~1.5 Years Experience
🎓 Education
  • B.Tech in Information Technology, GPA: 9.31/10
  • Banasthali Vidyapith, Jaipur (2020–2024)
  • Related Coursework: Data Structures & Algorithms, OOP, Operating Systems
🏆 Key Highlights
  • Deloitte Hackathon 2025 Winner, AI-driven performance review system.
  • Built multi-agent AutoGen workflows and RAG-based context management in production.
  • GPA 9.31/10, top of class in IT department.
  • Received Applause and Spot Awards at Deloitte for exceptional contributions.
🔗 Competitive Programming
🏅 Code 360 (Coding Ninjas): ShrutiGahlaut
💻 Technical Skills
Languages: C++ Python JavaScript SQL
Frameworks: ReactJS Angular ASP.NET Core Web APIs FastAPI LangGraph
AI/ML: Azure OpenAI AutoGen Multi-Agent RAG LangGraph LangFuse DeepEval
Databases: SQL Server PostgreSQL SQLite Azure Cosmos DB (NoSQL)
Tools: Git GitHub Azure DevOps Services Swagger
💼 Work Experience
Software Developer
Deloitte USI | Hyderabad
Aug 2024 – Present
  • Full Stack Developer for internal Talent-Management applications supporting performance management and promotional cycles for senior leadership.
  • Developed scalable, cloud-native business applications using REST APIs, Angular, and SQL Server following CI/CD practices.
  • Utilized Azure DevOps for version control, sprint planning, CI/CD automation.
  • Optimized SQL Server queries, stored procedures, and data models for large data volumes.
  • Built AI-driven features for production applications using Python, FastAPI, LangGraph, and Azure OpenAI.
  • Received Monetary awards (Applause and Spot Awards) for contributions to business applications.
🚀 Projects
  • Audio Performance Reviewer (Deloitte Hackathon 2025 Winner): AI-driven performance review using AutoGen multi-agent workflows. Multi-agent podcast pipeline (director, analyst, scriptwriter, tone-polisher). Integrated Azure Speech Service for TTS. Tech: ReactJS, Python, FastAPI, AutoGen, Azure Speech Service.
  • Performance Draft Creation Assistant (Innovation Challenge PoC): LLM-driven workflow engine using LangGraph for automated draft assessment summaries. Robust context-management with Chroma Vector DB and SQLite. LangFuse and DeepEval for LLM traces, latency, costs. Tech: ReactJS, Python, FastAPI, RAG, LangGraph, SQLite, Azure OpenAI.
13. Ajay S.
Senior Software Engineer | Android / Backend
~2.5 Years Experience
🎓 Education
  • B.Tech in Electrical Engineering, CGPA: 8.07
  • National Institute of Technology (NIT), Silchar (2018–2022)
  • Coursework: Data Structures, Algorithms, OOPS, Operating Systems, Design Patterns, Low Level Design
🏆 Key Highlights
  • Samsung Software Competency Test, Advanced and Proficiency level cleared.
  • Samsung Excellence Award for the launch of Samsung Wallet in India on time.
  • Won Hackathon organized by Digital Life Group at Samsung.
  • End-to-end delivery of Samsung Wallet Generic Card feature.
🔗 Competitive Programming
🏅 LeetCode: ajaysindolia
💻 Technical Skills
Languages: Java C/C++ Kotlin HTML/CSS
Tools: IntelliJ VS Code Android Studio Eclipse Gerrit
Frameworks: Spring Boot Android SDK REST APIs MVVM MySQL
AI/ML: TensorFlow Keras CNN AWS
💼 Work Experience
Senior Software Engineer
Samsung Research Institute | Bangalore
Jul 2022 – Oct 2024
  • Contributed to design, development, and maintenance of Samsung Wallet Android app modules for Galaxy Smartwatches (Java & Kotlin).
  • Engineered high-performance RESTful APIs using Spring Boot with microservices-based architectures.
  • Designed scalable, performance-optimized MySQL database schemas and refactored slow queries.
  • Successfully delivered the Generic Card feature, led end-to-end development.
  • Handled loyalty card-related operations, managing, storing, and processing loyalty cards.
  • Applied MVVM architecture to improve code modularity, scalability, and maintainability.
Technical Intern
Samsung Research Institute | Bangalore
Jan 2022 – Jul 2022
  • Hands-on experience with Java, OOP, and design patterns.
  • Developed and tested Android applications using Java, Android SDK, Android Studio.
  • Implemented JUnit test cases for improved reliability.
🚀 Projects
  • My Space Android App: Kotlin, AWS, TensorFlow, Keras, CNN, ML-based image classification app with end-to-end integration. Efficient image sorting system for categorized folders.
14. Vaibhav P.
Senior Software Engineer | Android / SmartThings
3+ Years Experience
🎓 Education
  • B.Tech in Electrical Engineering, CGPA: 8.48
  • National Institute of Technology (NIT), Silchar (2018–2022)
  • Coursework: Data Structures, Algorithms, OOPS, Computer Networks, DBMS, Machine Learning
🏆 Key Highlights
  • Samsung Software Competency Test, Advanced and Proficiency level cleared.
  • Full-stack developer for Samsung SmartThings, contributed to One UI 5.1 flagship releases.
  • Led Java-to-Kotlin migration using Coroutines & Flow.
  • Resolved 70+ production defects.
  • National Cadet Corps (NCC), B and C Certificate Holder. Led Republic Day & Independence Day parades at NIT Silchar.
  • Finalist in NIT Silchar Robotics Competition (Tecnoesis).
  • Secretary of GYANSAGAR (Non-Profit Community Development Organization).
🔗 Competitive Programming
🏅 LeetCode: @VaibhavPal 🏅 CodeForces: @VaibhavPal
💻 Technical Skills
Languages: Java Python C/C++ Kotlin HTML/CSS
Tools: IntelliJ VS Code Eclipse Gerrit
Technologies: Android SDK Jetpack MVVM REST APIs Git Jenkins Maven Linux Agile/Scrum
💼 Work Experience
Senior Software Engineer
Samsung | Bangalore
Jul 2022 – Present
  • Full-stack developer for Samsung SmartThings app, Kotlin for UI, Java & AIDL for backend APIs.
  • Designed and developed Music Share feature in Media Panel, Plugin Platform Features, and Companion APIs for third-party apps using IPC.
  • Implemented UI/UX enhancements using XML layouts, Material Design, MediaSession/MediaController APIs, including Flip cover screen support, contributing to One UI 5.1 / 5.1.1 flagship releases.
  • Led migration of legacy Android codebase from Java/RxJava to Kotlin Coroutines and Flow, improving UI responsiveness and performance.
  • Developed features for SmartThings, Media Output, and Companion modules using Kotlin, Jetpack, MVVM.
  • Resolved 70+ Android production and SVT defects using Android Studio, Logcat, Memory/CPU Profilers.
  • Contributed ideation proposals (Mosaic and IPR portals) adopted for product and platform improvements.
Technical Intern
Samsung | Bangalore
Jan 2022 – Jul 2022
  • Engineered a cross-platform mobile application leveraging IoT sensor data from smartphones, cars, and wearables, achieving 40% increase in energy efficiency.
🚀 Projects
  • Quarantine Center Management System: System for maintaining patient records for a quarantine center, track and manage COVID patient details with efficient data storage and access.
15. Sarabjeet S.
Software Engineer | Dell Technologies
~1.5 Years Experience
🎓 Education
  • B.Tech (EQF Level 6)
  • Manipal University Jaipur (Jul 2021 – Jul 2025)
  • Higher Secondary, CISCE (Jul 2019 – Jul 2021)
  • Multiple Dean's List Awards, highest GPA during undergraduate program.
🏆 Key Highlights
  • Google Summer of Code contributor (OpenStreetMap).
  • Built GenAI-powered compliance tool, reduced analysis from 1-2 days to 5-8 minutes.
  • Multiple Dean's List awards for highest GPA.
  • Polygon Guild Jaipur working team member.
  • Humanitarian OpenStreetMap Team mapping volunteer.
  • BREADS volunteer, residential school for underprivileged children.
💻 Technical Skills
Languages: Python Java C SQL HTML/CSS/JavaScript
Frameworks: React Angular Tailwind
AI/ML: AI/ML LLMs Fine-tuning Model Training
DevOps: Docker Jira Git Linux Windows
Soft Skills: Problem Solving Communication Leadership Time Management OOP Principles
💼 Work Experience
Software Engineer
Dell Technologies | Bangalore
Jul 2025 – Present
  • Design and implement automation blueprints for distributed cluster management, streamlined node addition/removal.
  • Develop and maintain complex, interrelated backend APIs supporting service-to-service communication with modular design.
  • Contribute to node licensing subsystem, license validation and lifecycle management.
  • Participate in technical ideation for automation and AI-inspired solutions.
Software Engineer Intern
Dell Technologies | Bangalore
Jul 2024 – Jun 2025
  • Developed a GenAI-powered tool using NLP and LLMs to perform semantic analysis of configuration changes across STIG compliance rules.
  • Implemented embedding-based rule mapping and deviation analysis.
  • Generated automated remediation insights and structured reports.
  • Reduced manual analysis time from 1-2 days to approximately 5-8 minutes.
Open Source Contributor | Google Summer of Code
OpenStreetMap (JOSM/Vespucci)
May 2023 – Aug 2023
  • Integrated advanced filtering and preset functionality from Vespucci into JOSM.
  • Extended preset capabilities with deprecated attributes, region-based inclusion/exclusion, and alternative tagging.
  • Collaborated with global open-source community to test, debug, and refine features.
🚀 Projects
  • FactFlow: Interactive web platform for sharing quotes, facts, and reviews with CRUD operations, JWT-auth email authentication, like count system, and comment section.
  • RoutePlanner: Web-based travel route planner using Leaflet.js and OpenStreetMap API for detailed mapping solutions.
📜 Certifications
Red Hat System Administration I (RH124) Red Hat System Administration II (RH134) CISCO Introduction to Packet Tracer AI@Dell: Capability Academy Jira Foundations 101
16. Ayush A.
Senior Consultant (Application Engineer II) | Supply Chain
3+ Years Experience
🎓 Education
  • B.Tech in Electrical Engineering, CGPA: 8.13/10
  • National Institute of Technology (NIT), Silchar (Aug 2018 – May 2022)
  • Higher Secondary, J.L College Hajipur, Bihar (2015–2017)
🏆 Key Highlights
  • 3+ years implementing supply planning solutions for global FMCG companies (Danone, Henkel, Johnsonville).
  • Multiple o9 platform certifications, Supply Chain Management expert.
  • Prior Data Science Analyst at Tiger Analytics.
  • Led sprint timelines and client training for Go-Live phases.
💻 Technical Skills
Languages: Python C/C++ SQL JavaScript HTML/CSS
Supply Chain: Supply Planning Demand Planning Distribution Planning End-to-End SCM
Technical: Integration SSIS IBPL Procedures o9 Solver UI Development
💼 Work Experience
Senior Consultant (Application Engineer II)
O9 Solutions | Bangalore
Oct 2022 – Present
  • Developed and implemented process interaction framework across end-to-end project lifecycles using Python.
  • Co-ordinated and harmonized tasks across Demand Planning implementation team for sprint timelines.
  • Provided functional and technical consulting for end-to-end supply chain optimization (Agile methodology).
  • Contributed to production campaign planning, Integration, SSIS, solver, report creation, platform updates.
  • Trained clients on new tools during Go Live phase. Onboarded new employees on Supply/Demand Planning.
  • Monitored daily batch operations and performed installation setup configurations across all environments.
  • Clients served: Danone, Henkel, Johnsonville.
Analyst - Data Science
Tiger Analytics | Chennai
Jul 2022 – Oct 2022
  • Applied structured, objective-driven data analysis aligned with key business goals and KPIs.
  • Collaborated with development team to debug and fix web application issues.
  • Worked with cross-functional teams to improve processes and meet project goals on time.
🚀 Projects
  • Quarantine Center Management System: C++, Data Structures, Algorithms, Well-maintained records for COVID-19 quarantine system. OOP Concepts, Inheritance, DS.
📜 Certifications
o9 Project Implementation Methodology Technical Deep Dive into Supply Planning Core Solution o9 Platform Technical Configuration, Level I and II Functional Insights into Supply Planning Core Solution o9 Knowledge Masters in Supply Chain Management
17. Ayush K.
Masters Student (Cybersecurity & AI) | Full Stack Developer
~1 Year Experience
🎓 Education
  • Masters in Cybersecurity and AI (EQF Level 7)
  • Radboud University, Nijmegen, Netherlands (Sep 2025 – Current)
  • B.Tech in Information Technology, GPA: 4.18/5.0
  • Manipal University Jaipur (Sep 2021 – Aug 2025)
  • 12th, Dr Dy Patil Pushpalata Patil International School, Patna (95.6 equivalent)
🏆 Key Highlights
  • Dean's List Certification, Highest GPA in the IT department (4th semester).
  • 400 LeetCode problems solved, contest rating 1521.
  • Built AI-powered medical report summarizer with GPT-4 and RAG pipeline.
  • Code Repair Agent improving bug detection by 23%.
  • Pursuing Masters in Cybersecurity & AI at Radboud University (Netherlands).
  • Polygon Guild Jaipur Working Team, Blockchain community events.
💻 Technical Skills
Languages: Python C/C++/C# Java JavaScript PHP SQL
AI/ML: TensorFlow Keras PyTorch Scikit-learn OpenCV XGBoost Transformers
Deep Learning: CNNs YOLO ResNet RNN LSTM
MLOps: Docker Kubernetes MLflow AWS S3
Web: MERN Stack LAMP Stack React NodeJS Bootstrap Tailwind
Platforms: Linux AWS Salesforce
💼 Work Experience
Tech Intern | Backend Developer
ANS Commerce (Flipkart) | Gurgaon
May 2023 – Aug 2023
  • Worked on the "Kartify" project as a backend developer using the LAMP stack.
  • Built reports panel for daily dispatch, return order management, monthly sales, and inventory management.
  • Solved multiple Jira tickets, updating and enhancing e-commerce websites.
  • Technologies: PHP, MySQL, jQuery, Elasticsearch, Redis, Linux, JIRA.
🚀 Projects
  • AI-Powered Medical Report Summarizer: Python, LangChain, Hugging Face, GPT-4, Pinecone, FastAPI, Streamlit, OCR (Tesseract, EasyOCR) with LLMs (GPT-4, BioGPT, ClinicalBERT). RAG pipeline with LangChain and Pinecone.
  • Code Repair & Optimization Agent: GPT-4, LangChain, CodeBERT, FastAPI, Docker, AI-powered agent for syntax/logical error detection. RAG with FAISS/Pinecone. Improved bug detection accuracy by 23%. CI/CD integration.
  • Workflow Board: MERN stack, React app for workflow visualization, 27% efficiency boost, 90%+ accuracy data filtering.
  • DevLaunch: React (Material UI), NodeJS, Express, User authentication, third-party API integration, 90% onboarding success rate.
📜 Certifications
VMware IT Virtualization Core Technical Skills Introduction to Packet Tracer, Cisco Oracle Cloud Infrastructure Foundations I Red Hat System Administration I (RH124)
18. Shilpi D.
AI Trainer | Terminal Bench, OSWorld, Python
~2 Years Experience
🎓 Education
  • Bachelor of Business Administration, CGPA: 8.4
  • SRM University AP, Amravati, Andhra Pradesh (Jun 2024)
  • Class XII CBSE, 95.6% (Vidyagyan School, Bulandshahr, UP)
  • Class X CBSE, 93.8% (Vidyagyan School, Bulandshahr, UP)
🏆 Key Highlights & Achievements
  • Oracle Tier Contributor (Top 1%) at Outlier, elite recognition for AI evaluation quality.
  • Senior Reviewer leading LLM code generation audits, improved rubric accuracy by 50%.
  • Designed OS-level and Terminal-Bench evaluation tasks exposing SOTA model failures.
  • Class XII CBSE, 95.6% | Class X CBSE, 93.8%.
  • Silver Medalist, National-level Basketball at Udgam 23 (SRM University AP).
  • Silver Medalist, National-level Youth Festival Basketball at Vignan Mahotsav 23.
  • Bronze Medalist, CBSE Cluster Under-17 Basketball Competition 2019-20.
  • Silver Medalist, District School Basketball League 2018 (Under-17).
💻 Technical Skills
Languages: Python
AI/ML: Hugging Face Transformers RLHF SFT Prompt Engineering Model Evaluation Bias Reduction
Technologies: AWS Cloud AI GenAI
Tools: VS Code Cursor Git GitHub
💼 Work Experience
AI Trainer | Terminal Bench, OSWorld, Python
Turing | Remote
Dec 2025 – Present
  • Designed OS-level and terminal interaction evaluation tasks (Bash, Python, GUI automation) that reliably expose failure modes in SOTA agent models.
  • Generate high-signal feedback for improving real-world system reasoning and tool use.
  • Audited and refined tasks across CLI and GUI evaluation frameworks to ensure deterministic execution, evaluator-oracle alignment, and robustness across distributed evaluation pipelines.
  • Directly improved task reliability and training effectiveness.
AI Trainer | Oracle Tier Contributor (Top 1%)
Outlier | Remote
Oct 2025 – Present
  • Ranked in the top 1% (Oracle Tier Contributor) for high-quality AI evaluations across prompt engineering, rubric design, and failure-mode analysis.
  • Served as Senior Reviewer, leading audits on LLM code generation, scalability, concurrency, and control flow.
  • Improved rubric accuracy by 50%.
Senior Learning Consultant
Great Learning | Bangalore
May 2025 – Oct 2025
  • Conducted data-driven career diagnostics for learners by analyzing skill gaps, technical backgrounds, and learning goals.
  • Collaborated with cross-functional product and academic teams to translate customer requirements into tailored technical learning pathways.
Business Development Trainee
Intellipaat | Bangalore
Jul 2024 – May 2025
  • Consistently exceeded sales targets selling professional courses. High conversion rates and customer satisfaction.
  • Demonstrated exceptional ability to understand customer needs and close high-value deals.
Data Analyst | Python, NumPy, Pandas
CfBT Education Services | Hyderabad
Jun 2023 – Aug 2023
  • Conducted data analysis, cleaning, report generation, and data entry using MS Excel, MS Word, Charts.
  • Produced 3 comprehensive reports per district for Karnataka skill demand survey, employing statistical measures and actionable insights.
19. Yash V.
Team Lead - Tooling | Turing | ML Engineer & Agentic AI Specialist
2+ Years Experience
🎓 Education
  • B.Tech, Computer Science Engineering, Manipal University Jaipur (Aug 2021 - May 2025)
🏆 Key Highlights & Achievements
  • DAAD Scholarship recipient, awarded to top 5% of applicants for AI research at Technical University of Munich (TUM).
  • UHackathon 4.0, Top 5, ranked among top 5 out of 100+ teams for rapid AI solution prototyping.
  • International experience at TUM (Germany) and IIT Guwahati, leading cross-functional AI research teams.
  • Designed automated validation checks and QA pipelines for LLM tooling workflows at Turing.
  • Built AI copilot with SIEM/SOAR capabilities integrating security orchestration and automated response.
  • Achieved 98%+ validation accuracy on malware detection CNN, outperforming 85% baseline.
💻 Technical Skills
Languages: Python C++ Java SQL
AI/ML: TensorFlow PyTorch Keras Scikit-learn Transformers CNNs RNNs LSTMs
NLP & Agents: BERT GPT Hugging Face RAG LangGraph LangChain OpenCV YOLO
MLOps & Cloud: Docker Kubernetes Jenkins FastAPI CI/CD AWS Azure GCP
Tools: Git Flask Google Cloud Run LAMMPS
💼 Work Experience
Team Lead - Tooling Team
Turing | Remote
Oct 2025 – Present
  • Designed and implemented automated validation checks, structured QA pipelines, and task-verification workflows to reduce manual review overhead.
  • Collaborate closely with reviewers, trainers, and leads to continuously improve throughput, accuracy, and consistency of outputs.
  • Developed internal tooling for automated task evaluation, enabling faster iteration cycles and reducing error rates across the delivery pipeline.
  • Built monitoring dashboards and alerting systems to track task quality metrics in real time, supporting data-driven decision-making.
  • Integrated CI/CD pipelines for validation scripts, ensuring reliable deployment of evaluation tooling across distributed teams.
AI Engineer
Cyber Evolve | Delhi, India
Aug 2025 – Present
  • Developed an AI copilot with SIEM/SOAR capabilities, integrating security incident and event management with security orchestration, automation, and response.
  • Created MCP (Model Context Protocol) servers to streamline API endpoint integrations, enabling seamless data flow between security systems.
  • Implemented RAG architecture with fallback LLM for intent recognition, improving query understanding accuracy and response relevance.
AI Developer
Mindible | London, UK (Remote)
Dec 2024 – Present
  • Developed Agentic Workflows using LangGraph and LangChain powering complex chatbots and automation workflows, boosting operational efficiency by 25%.
  • Implemented lead capture AI Agents and CRM integrations with API-driven WhatsApp/FB Messenger AI assistants, reducing response times by 40%.
  • Designed custom API automations and predictive analytics tools, enhancing client retention by 15% through churn prediction models.
AI Intern
Technical University of Munich (TUM) | Munich, Germany
Sep 2024 – Nov 2024
  • Integrated LLM-driven predictive models and MLOps pipelines into Molecular Dynamics simulations, reducing setup time by 30%.
  • Applied CNNs and deep learning for visual feature extraction, increasing predictive accuracy from 75% to 90%.
  • Deployed RAG-based inference systems using Docker, cutting deployment time by 50%.
AI Intern
Indian Institute of Technology, Guwahati (IIT-G) | India
May 2024 – Aug 2024
  • Implemented BERTScore and MENLI evaluation metrics for AI data annotations, improving accuracy by 25%.
  • Cross-validated AI outputs with human annotations (2000+ sentences), achieving 95% agreement.
  • Contributed to a robust evaluation framework, improving F1 score by 15%.
🔬 Projects
WebSight: AI Web Research Assistant
  • AI-powered web research assistant using Google Gemini API to analyze multiple sources, synthesize contextual answers, and provide source attribution.
  • Built with Flask and deployed via Docker on Google Cloud Run, featuring context-aware conversational memory and real-time process visualization.
Malware Detection using CNN
  • Converted 10,000+ .exe files into grayscale image tensors, built 6-layer CNN in TensorFlow/Keras using byte sequence analysis.
  • Achieved 98%+ validation accuracy (vs. 85% baseline) through GPU-accelerated training and hyperparameter tuning.
📜 Certifications
DAAD Scholarship for AI Research at TUM Agile with Atlassian Jira, Atlassian University (2023) Intro to IoT and Embedded Systems, UC Irvine (2023) Cybersecurity and IoT, Kennesaw State University (2023)
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Confidential Team Portfolio, February 2026

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