At Cognizant, I engineered an end-to-end machine learning pipeline with Python, SQL, and PySpark, processing GB-scale datasets across a distributed cluster. I trained, validated, and deployed predictive models in a mock production environment.
At ThinkDeck, I built web-scraping workflows across 100+ sources and designed ThinkDeck-api, a FastAPI backend for data requests and model interactions. I also engineered an OpenAI GPT API fallback that sustained approximately 99% availability.
On projects including ZKredit and BandGate, I’ve worked on privacy-preserving risk scoring and an evidence-grounded, multi-agent system for enterprise RFPs. My work also includes data engineering, applied AI, and blockchain projects, including a lakehouse for Kolkata AQI data.

