Headline

ML Engineer | RAG · LLMs · LangGraph · LangChain · Python | Multi-agent Systems · AutoML | Ex-TCS GenAI Intern | Open to Work

About

I build production-grade GenAI systems — RAG pipelines, multi-agent workflows, and AutoML solutions that solve real problems. Currently at Smartkeen Tech building LLM-powered multi-agent systems with LangGraph, reducing decision-making overhead by ~40%. Previously at TCS optimizing RAG pipelines over 50K+ documents, improving retrieval accuracy by 25% and cutting query latency by ~20%. Stack: Python · LangChain · LangGraph · HuggingFace · ChromaDB · Scikit-learn · Docker · Groq API Seeking full-time ML Engineer / Data Scientist roles in India. Let's connect — vasavibokkisam03@gmail.com

Location

Bengaluru

AI stack

claude code

gemini

grok

hugging face

ollama

Work experience

ai agent dev intern at Smartkeen Tech, Jan 2026 - Jun 2026 · 6 mos, Bengaluru, Designed and deployed LLM-powered multi-agent systems using LangGraph, reducing manual decision-making overhead by ~40% in automated business workflows. Built and evaluated 3+ end-to-end agent pipelines integrating LLM reasoning, tool use, and external REST APIs for intelligent process automation. Architected agent state management with declarative flow control, cutting failure recovery time by ~30% through modular task delegation.

Intern at TCS_India, Jan 2025 - May 2025 · 5 mos, Hyderabad, Telangana, India, Built RAG-based QA chatbot using Python, LangChain, and ChromaDB with Transformer-based embeddings, achieving 25% improvement in retrieval accuracy over baseline. Optimized chunk size, indexing strategies, and embedding pipelines, reducing average query latency by ~20% in production-scale QA systems handling 50K+ documents. Contributed to vector storage strategies, modular LLM pipelines, and prompt workflows across a team of 6 engineers

Education

B.Tech, computer science and data science, R.V.R. & J.C. College of Engineering