I hold a B.S. in Computer Science & Engineering from the University of California, Davis. I love building cross-platform mobile apps, designing intelligent machine learning systems, and exploring blockchain technology.
- 🔭 I’m currently working on a Parkinson’s Research App (iOS) for the Dr. Chang Lab and developing ML pipelines for neuroscience research.
- I’m looking to collaborate on Open Source Machine Learning projects and iOS app projects.
- 🤝 I’m the Co-founder of the Machine Learning Student Network and was a Tech Director at the Google Developer Student Club. I was also the VP of Marketing and Technical Mentor for SacHacks
Languages
Frontend & Mobile
Backend, AI & Tools
Clinical iOS Research Application — Dr. Chang Lab | University of California, Davis
A research-grade iOS application for longitudinal monitoring of Parkinson’s disease symptoms in study participants.
- Built using Swift and SwiftUI with a modular, questionnaire-driven architecture.
- Implements validated clinical scales including MDS-UPDRS, PDQ-39, PFS-16, KPPS, BDI-II, SCOPA-AUT, PAS, and FOG-Q.
- Supports daily check-ins and monthly questionnaires, with responses stored as structured question–answer pairs for clinical interpretability.
- Backend powered by AWS (API Gateway, Lambda, DynamoDB); patient data is uploaded securely and never stored locally on-device.
- Designed for controlled, internal research deployment (non–App Store distribution), with clinician-facing analysis planned via a future dashboard.
Developed in collaboration with clinical researchers for real-world Parkinson’s disease studies.
Ben Shalom Lab | UC Davis MIND Institute
- Developed a scalable ETL pipeline for analyzing single-neuron spike data from lab-grown mouse brains to support early detection of neurological diseases.
- Built using Python, SpikeInterface, and Kilosort, with multiprocessing optimizations achieving up to 80% speedup.
- Migrated compute-intensive workflows to NERSC supercomputers for high-throughput neural data processing.
- Designed an interactive Plotly Dash web application for uploading CSV / MATLAB data and generating spike histograms, firing-rate plots, and LDA visualizations.
- Applied machine learning classification techniques to distinguish healthy vs. diseased neuron activity, with model interpretability using SHAP.
📱 CrypGo
Mobile Crypto Wallet & Blockchain Fabric
- Developed using React Native and ResilientDB.
- Allows users to access accounts, submit transactions, and view activity on the go via GraphQL APIs.
- Focused on secure, seamless mobile blockchain interaction.
🥗 Khao
Recipe & Food Discovery App
- Built with React and Python.
- Features a rich UI for browsing recipes and uploading food content.
✅ GYST
Productivity Application
- A React-based web application designed to help users "Get Their Stuff Together."
- Focuses on task management and personal organization.
