I built VIGIL-FLOOD, an AI-powered flash flood early-warning system that monitors rivers, rainfall, and terrain. It combines a dual-model engine with 3D terrain mapping, evacuation routing, and SMS/WhatsApp alerts.
For TwoTowerMovieRec, I developed a PyTorch recommendation engine with a hybrid router for cold-start users. I evaluated retrieval across warm and cold user segments and containerized the serving pipeline with FastAPI and Docker Compose.
As an Artificial Intelligence / Machine Learning Intern at Andhra Pradesh State Council of Higher Education (APSCHE), I built a Flask REST API for poultry disease detection using TensorFlow, Keras, and transfer learning. I also improved the interface and system performance through iterative testing, Agile practices, and mentor collaboration.
