Nikhil Sharma

Summary

Aspiring Full-Stack Developer and AI Engineer with hands-on experience building production-grade web applications and Retrieval-Augmented Generation (RAG) systems using Next.js, FastAPI, MERN, LangChain, and PostgreSQL. Strong foundation in software engineering, semantic search, and cloud deployment, backed by multiple hackathon achievements

Education

Projects

• PolicyPulse | Next.js, FastAPI, PostgreSQL (pgvector), Supabase, Google Gemini, LangChain, RAGAS GitHub
• • Architected and developed a production-grade AI document intelligence platform implementing a Retrieval-Augmented
• Generation (RAG) pipeline over complex policy documents, evaluated using RAGAS for retrieval quality
• • Built a hybrid dense–sparse retrieval architecture (20 dense + 20 sparse results) fused via Reciprocal Rank Fusion (RRF),
• followed by cross-encoder reranking to surface the top 5 most relevant chunks
• • Implemented semantic vector search using Gemini text-embedding-2 embeddings with citation-backed, streaming LLM