At Defence Electronics Applications Laboratory (DEAL), DRDO, I built a CRNN-based Acoustic Vehicle Detection and Classification System that achieved 96.83% test accuracy. I also created its deep learning training pipeline and a real-time inference demo using FastAPI and Streamlit.
During my internship at Edunet Foundation (Microsoft & SAP), I engineered a DistilGPT-2 healthcare chatbot with rule-based triage logic and a Streamlit interface. Its response time was under 1.5 seconds.
I built Aura-Grow, a full-stack IoT agriculture platform combining sensor dashboards with crop and yield prediction. As a freelance Full Stack Developer for HTCab, I shipped a taxi booking platform from scratch to deployment as its sole developer across the frontend, backend, and database.
