I'm a full-stack & data engineer currently pursuing my MS in Data Analytics Engineering at Northeastern University and a UC Davis CS alum. My work bridges software engineering, machine learning, and sports analytics — with a strong interest in building tools that are both technically sound and deeply human-centered.
Languages: TypeScript, Python, SQL, Swift, C++, R
Frameworks: React, Next.js, Node.js, Prisma ORM, Scikit-learn, Tailwind
Tools: Docker, Supabase, Firebase, Tableau, AWS, PostgreSQL, Git, Jupyter
| Project | Description | Tech |
|---|---|---|
| Injury Prediction System | End-to-end ML pipeline for injury risk using SHAP, TransferMarkt scraping, and feature engineering | Python, R, SQL, PostgreSQL |
| E-commerce Platform | Dual-app architecture with Stripe checkout & admin dashboard | Next.js, Prisma, MySQL |
| Reddit Uyghur Sentiment Analysis | NLP-driven topic modeling and sentiment tracking across 16,000+ Reddit posts. Includes DistilBERT and t-SNE visualizations. | Python, SpaCy, Transformers |
| Amazon Review Sentiment Classifier | Traditional ML pipeline for classifying 34K+ reviews using TF-IDF, SMOTE, and ensemble modeling. | scikit-learn, NLTK, Python |
- 📍 Based in Boston (California-raised, Japan-born, Uyghur roots)
- 📚 Always learning — blending computer science, culture, and advocacy
- ⚽ Off the keyboard: soccer addict, gym rat, and manga enthusiast (One Piece fan)
Thanks for stopping by! 🚀
If you're hiring or collaborating on something exciting — I'd love to connect.