π Computer Science Student at Simon Fraser University
- Passionate about AI, Computer Vision, and Software Development
- Currently learning: Deep Learning, Data Visualization, and Full-Stack Tools
- Languages: Python, C++, C
- Libraries & Frameworks: TensorFlow, OpenCV, Streamlit, Plotly, Tkinter
- Concepts: Machine Learning, Data Visualization, GUI Development
- Smile Engagement Tracker: Real-time smile detection and engagement analysis.
- Personal Finance Tracker: Interactive budgeting app with Streamlit + Plotly.
- StudyQuest: Team-based full-stack web app built with FastAPI, Docker, and PostgreSQL. Implemented secure user authentication, protected API endpoints, and deployed the service using Render. Includes a social study timer with friends, session tracking, and leaderboards, developed using an Agile workflow under tight deadlines.

