Available for opportunities
Associate Analyst — Robotics & Content Engineering
Machine Learning Data Operations and Labeling
MCA graduate with hands-on industry experience building ML pipelines, fraud detection systems, and collaborative developer tools. Passionate about applying AI to solve real-world problems. Currently working as an Associate Analyst at GlobalLogic Technologies, focused on automation and intelligent data systems.
Worked on building clean, reliable training data for AI and robotics systems, annotating robotic action sequences at the frame level, flagging anomalies, and breaking down where and why multi-step workflows failed. Dug into motion errors, edge cases, and task breakdowns to produce structured labels that actually improved what the models learned. Also worked on temporal data pipelines, tagging state transitions and performance drops to help teams spot patterns faster and ship better models. Turned raw operational footage into production-ready training datasets aligned with real deployment needs across ML, LLMs, and robotics pipelines.
Industry project at GlobalLogic Technologies focused on building production-ready training datasets for ML, LLM, and robotics systems. Responsible for the full data pipeline — from raw operational footage to structured, deployment-aligned labels.
A full-featured platform for developers to collaborate, solve coding challenges, and pair program in real-time. Connects like-minded developers to streamline the pair programming experience.
An AI-powered interview preparation and conferencing platform that helps developers practice technical interviews with real-time feedback and mock sessions.
A retrieval-augmented generation system that lets users upload documents and ask natural language questions. Built to demonstrate LangChain pipelines, vector embeddings, and LLM integration end-to-end.
A realistic AI agent that processes, denies, or escalates e-commerce refund requests against a strict refund policy. Features a customer chat interface alongside an admin dashboard showing the agent's internal reasoning trace.
A production-grade fraud detection system that processes large-scale transaction datasets to identify high-risk payment activities using machine learning.
MCA graduate with 1+ year of industry experience in AI/ML data pipelines, full-stack development, and fraud detection. Open to AI/ML engineering and software development roles.