Rajeev Vhanhuve
Generative AI Engineer · Machine Learning Engineer
I'm Rajeev Vhanhuve a Generative AI Engineer and ML Engineer based in Pune, India. I work at Infosys, building production GenAI systems for the BFSI space.
Most of my work sits at the messy end of Generative AI and Agentic AI: getting RAG pipelines to behave, wiring up LLM workflows, building citation systems that auditors actually trust, and squeezing latency out of document generation. I shipped Gov Assistant a knowledge tool that lets compliance teams ask questions across thousands of governing documents and get answers backed by real sources and Gov Co-Author, which writes 200-page compliance documents in under 2 minutes using GPT-5.1.
Before GenAI took over my days, I built ML and AI systems at TAO Digital Solutions and Tata Technologies. I've spent a lot of time with Transformers, LLMs, RAG, LangChain, LangGraph, and Azure OpenAI from quick prototypes through to the things that actually run in production.
I care about building AI that is reliable, easy to explain, and useful in places where being wrong has real consequences. Have a look at my projects, read the blog, or drop me a note using the form below.
RAG Demo Interactive Query Visualisation
Watch a question travel through a RAG pipeline encoded into a vector, matched against a tiny corpus, and stitched into a grounded answer with citations. Pick a sample query or type your own.
- Run a query to see the top matches.
The generated answer with inline citations will appear here.