At INFOSYS SPRINGBOARD, I’m developing patient risk and readmission forecasting engines, using feature engineering and data normalization to support clinical decision systems.
I’m building healthcare intelligence solutions with Python, FastAPI, Scikit-learn, XGBoost, Random Forest, PostgreSQL, and Docker.
At OWL AI, I built Django REST APIs for authentication and profile management, optimized PostgreSQL queries, and implemented backend features and bug fixes.
My projects include a real-time chat app with translation and dubbing, a farming management app with AI crop guidance, and a web app that turns text into audio scenes. I also contributed to OWASP (Nest) and placed in coding and hackathon competitions.

