At Floccare, I developed a cache-first clinical fact extraction pipeline backed by Redis, with sub-100ms retrieval latency for thousands of stored facts. I also built the PostgreSQL dataset ingestion and storage layer for clinical facts.
At Floccare, I prototyped 50+ Figma screens and shipped a production-ready interactive MCQ nurse training game to a US-based hospital. I iterated on the UI based on feedback from nursing staff.
At Infosys Springboard, I developed EnviroScan, a predictive AI system that mapped pollution sources with 92% prediction accuracy. I also built a real-time Streamlit dashboard and optimized ETL pipelines for geospatial datasets.
In my projects, I built MedSynexa, an AI clinical assistant with an audio-to-text RAG pipeline for generating SOAP notes, and Project Pothole, a mobile hazard-tracking app with a real-time dashboard. I also built Pharmacy Rush, an offline-capable clinical simulation game.
