I built a high-concurrency movie ticket booking API with FastAPI, PostgreSQL, and SQLAlchemy. I used row-level locking, database transactions, and Redis seat holds to prevent double-booking, then added Celery workers and WebSockets for background tasks and live seat availability.
For my J.A.R.V.I.S AI Voice Assistant project, I developed a Flask backend that processes queries with a locally hosted Llama 3.2 model through Ollama. I also implemented real-time dashboard updates and asynchronous command processing.
I built a malaria cell detection model using TensorFlow and Keras, with image preprocessing, data augmentation, and evaluation using precision, recall, and F1 metrics. I’m a Computer Science and Engineering student at Lakshmi Narain College of Technology, with project experience across backend development and AI integration.

