At Statslane, I developed an LLM-powered sports analytics chatbot that answers natural-language questions about sports data. I designed its RAG pipeline, grounding responses in MongoDB-backed statistics and evaluating accuracy, relevance, consistency, and latency.
For my NYC Taxi Demand & Fare Prediction Platform project, I built forecasting and fare-prediction models, served predictions through FastAPI, and created a Streamlit dashboard. I containerized the application with Docker and deployed the ML API on AWS ECS Fargate.
