Computer Science graduate building backend and full-stack applications with Python, FastAPI, Flask, SQL, and JavaScript.
- GenAI Food Pantry Inventory - Full-stack inventory workflow using FastAPI, PostgreSQL, AWS RDS, and Gemini image classification. Live application
- College Dining Meal Planner - Flask application that processes 800+ menu items and generates personalized meal recommendations. Live application
- The Sunday Table - Responsive meal-availability application built with Next.js and TypeScript. Live application
- Privacy-Preserving Voting App - FastAPI polling system implementing Local Differential Privacy and mixed-epsilon debiasing.
- Backend APIs and database-backed applications
- Python, FastAPI, Flask, and SQLAlchemy
- PostgreSQL and SQLite
- JavaScript and TypeScript
- AWS RDS, Railway, and Vercel
- Practical AI integrations
- Automated testing with Pytest
- Docker and reproducible development environments
- GitHub Actions and CI/CD
- Production logging and application monitoring