Featured Projects

A Multi-Modal RAG Knowledge Engine An intelligent knowledge graph system that ingests video, audio, and PDF documents to create a connected semantic web. Features a graph-based retrieval engine (GraphRAG), multi-modal search, and an interactive React Flow visualization dashboard. Built with FastAPI, Next.js, Neo4j, and LlamaIndex.

End-to-End Salary Prediction API built with MLOps principles: Flask, Docker, CI/CD (GitHub Actions), and Cloud Deployment.

ContextIQ: Professional Chat-with-PDF RAG App. Upload PDFs, index with Gemini embeddings in Pinecone, and ask questions with answers grounded in retrieved context. Built with Streamlit, Google Gemini, and Pinecone.