COGNYZER

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.
17
Team Members
70+
Combined Years of Experience
10+
Tech Domains Covered
15+
Enterprise Clients Served
1. 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.
  • Photography Mentor, directed team of 17 photographers, managed media for events with 10,000+ attendees.
  • Core Committee Member of Oneiros'22 cultural fest (15K+ attendees).
💻 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
2. 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.
3. 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.
4. 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)
5. 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)
6. 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)
7. 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.
8. 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)
9. 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
10. 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
11. 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.
12. 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.
13. 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.
14. 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
15. 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
16. 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)
17. 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.
COGNYZER

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Confidential Team Portfolio, February 2026

Personal contact information has been intentionally excluded to protect team members' privacy.

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