- 🔭 I’m a full-stack software engineer from Mount Holyoke College
- 📚 Currently learning Algorithm Design and Computer Vision
- ⚡ Passionate about hackathons, 🎿 skiing, 🏀 basketball, and 🎵 music
- 💞️ Open to collaborations in Web3.0 Development, Mobile Applications, and more
- 🤝 Looking for Internship Opportunities in Tech, Trading, or Finance
- can-did: A collaborative app for city planning, focused on community-driven urban development and accessible technology.
- Smart-City: A platform for urban development and visualization, offering tools for planners and citizens alike to collaborate effectively.
- AI-Predictor: A machine learning-based prediction platform that uses state-of-the-art algorithms for forecasting trends and analyzing data in real-time.
- FinTrack: A financial portfolio tracker designed for individuals and small businesses, integrating with APIs to track investments and expenses.
- Hackathon-Hub: A resource-sharing and project-management hub for hackathon teams, enabling seamless collaboration and project tracking.
- Web3-Wallet: A decentralized Web3 wallet application that provides secure transactions and easy onboarding for crypto and blockchain enthusiasts.
- VisionaryCV: A computer vision-based project focused on facial recognition, object detection, and custom model training pipelines.
- GameOn: A gaming analytics dashboard that leverages player data and machine learning for optimizing game performance and user experience.