Pravesh Sharma

I’m a Computer Science student with hands-on full-stack development experience, focused on shipping production-ready code quickly. I’m comfortable wearing multiple hats and learning new technologies fast to deliver working features end-to-end.

Right now, I’m building Panopticon, an intelligent exam proctoring system that detects suspicious behaviors using a RandomForest classifier. I process video frames in real-time and create instructor-friendly reporting via a Streamlit dashboard.

On the data side, I preprocess and clean a dataset of 5,000+ labeled images using Pandas and NumPy, and I’ve improved model training efficiency by 30%. I also designed the pipeline to support practical review of flagged sessions with analytics that instructors can act on.

I work across modern web and backend tooling—Node.js, React, and Express—while applying core computer science fundamentals like data structures, OOP, API integration, and database design. I’m excited to contribute to an early-stage team where I can help build and iterate quickly.