At Tata Consultancy Services, I’m training in AI and GenAI engineering, covering LLMs, Retrieval-Augmented Generation, AI agents, and vector databases. I’m also training on Databricks for data engineering and analytics workflows.
On my Agentic RAG Enterprise Knowledge Assistant project, I built a multi-agent assistant for internal policy and IT-helpdesk queries. It routes questions to document retrieval, a SQL tool, or a direct function-calling answer, and uses Qdrant for hybrid search, query rewriting, and reranking.
I added a self-corrective retrieval loop, source citations, and RAGAS evaluation, then served the project through FastAPI with a Streamlit UI and Docker. I also designed Brain Transfer, a knowledge-transfer agent that consolidates engineering context from tickets, documents, pull requests, and chats.
