🧠 Student | 💻 Developer | ✍️ Blogger | 🤖 Robotics
- 🎓 High school junior passionate about data science, vision, embedded systems, and robotics
- 🐍 Learning Python with ML libraries like
pandas,scikit-learn,XGBoost, andNumPy - ⚛️ React & React Native developer with a focus on practical app development
- ✍️ Writer for Medium publications like AI Explained in Plain English and Python Explained in Plain English
- 🏆 Hackathon enthusiast — solo and team competitor with project wins
- 🧠 Currently practicing algorithms to reach USACO Platinum
| Project | Description | Tech |
|---|---|---|
| DiaGuide | A diabetes risk prediction app built using Python, Streamlit, and machine learning. Created in under 48 hours during a solo hackathon. Deployed on Streamlit Cloud with a clean UI. | Python, Streamlit, scikit-learn |
| FRC Scouting App (Actively Maintained) | Match data collector for scouting teams, built with React Native | React Native, Expo, QR |
| stocksimpy (Actively Maintained) | Python library to simulate trading strategies and test investing logic | Python, OOP, NumPy |
- 📝 Medium Blog