Computer Engineering @ University of Washington (Class of 2028)
Autonomous Systems · Machine Learning · Full-Stack Development
| 🥇 Award | 📋 Details |
|---|---|
| DubsTech Hackathon 2026 | Honorable Mention — Healthcare Access Barriers Analysis |
| 93.7% ML Accuracy | 13 algorithms benchmarked for healthcare inequity detection |
| 50+ Students Tutored | King County Library System Mathematics Program |
Engineered a comprehensive ML pipeline to identify healthcare inequities across demographic groups. Benchmarked 13 different algorithms to achieve a final model accuracy of 93.7% using Scikit-learn, Pandas, and NumPy on real-world public health datasets.
Developing real-time waypoint navigation and autonomous decision-making for a competition rover. Work involves sensor fusion, embedded systems programming, and optimization of data pipelines for latency-sensitive environments.
Built a full-stack platform leveraging Hugging Face ML models to automatically categorize ocean waste from image inputs — accelerating marine conservation data collection with AI.
A full-stack solar savings calculator using the NREL Solar API and OpenCage Geocoding API to deliver personalized renewable energy potential reports. Built with React.js frontend and Node.js/Express backend.
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║ BEYOND THE KEYBOARD ║
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║ 📚 Math Tutor · King County Library System ║
║ → 50+ students · Measurable curriculum gains ║
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║ 🏥 Patient Services · Evergreen Hospital ║
║ → HIPAA compliance · Emergency protocol execution ║
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"Engineering systems that think, move, and adapt."