I developed VisionDX, a retinal disease detection system that combines a Next.js frontend, FastAPI REST API, PyTorch inference service, and PostgreSQL database. I implemented image upload and prediction workflows, input validation, preprocessing, and prediction history.
For my Customer Analytics & Campaign Intelligence Dashboard, I built a Python application to process transaction records and support customer and business analysis. I added data-quality checks, an indexed SQLite database, reusable modules, and unit tests, then deployed the application with Streamlit.
I also developed VOID, a full-stack e-commerce application with product browsing, cart management, order processing, and online payments. As Co-Executive of the Computer Society of India (CSI), SRMIST Delhi NCR Student Chapter, I manage technical events and activities and coordinate volunteers.
