At Infosys Springboard, I built a multi-agent Legal Contract Analysis System for automated contract and clause analysis. I also developed its Flask backend and document ingestion pipeline, connecting REST APIs, Qdrant vector indexing, semantic retrieval, and LLM-powered classification.
On my Startup Success Prediction Pipeline internship, I built an end-to-end machine learning pipeline using the Crunchbase dataset and deployed it as a Flask application for real-time predictions. I also built Sahayak, an agentic AI teaching assistant using LangChain, the OpenAI API, and Firebase.
