Bharat Hardi

I’m an aspiring Generative AI Engineer focused on RAG-based application development. I completed structured training as a System Engineer trainee in the .NET Core stream, where I built backend service implementations and data access layers.

That backend foundation strengthened my comfort with Python, REST APIs, and SQL. I also value clean coding standards while working across components, including basic Angular integration and Web API development.

On the Generative AI side, I developed an AI Research Assistant using LangChain and a Retrieval-Augmented Generation (RAG) pipeline to deliver context-aware, source-grounded answers while reducing hallucinations. I’m comfortable across the LLM stack—prompt engineering, embeddings, LangChain workflows, and vector databases like ChromaDB/FAISS—and I enjoy building interactive Streamlit experiences that feel intuitive for real users.