Computer Science (AI) @ UC San Diego β 4.0 GPA
Founder of JATS β Production Chrome Extension (OAuth + Google Sheets API)
Focused on building scalable, browser-native tools and AI-driven systems.
Production-grade Chrome extension that extracts job data from LinkedIn, Handshake, and UCSD portals and logs it into structured Google Sheets.
Engineering Highlights
- Manifest V3 architecture
- OAuth 2.0 authentication via Google Identity Services
- Secure Google Sheets API integration
- Automatic sheet template generation (v1.1.0)
- Structured DOM parsing with missing-data handling
- Versioned semantic releases (v1.0.0 β v1.1.0)
π Chrome Web Store: https://chromewebstore.google.com/detail/papieahfnaoehbgnlaihbcipfgfboobk
π GitHub Repository: https://github.com/MokeyCodes/JATS
- Fine-tuned pretrained ResNet-18 on 29 biome classes
- Achieved 84.54% private leaderboard accuracy
- Built reproducible PyTorch training + evaluation pipeline
- Saved trained weights for downstream inference
Languages
TypeScript, Python, JavaScript, C++
Frontend & Systems
Next.js, Chrome Extensions (Manifest V3)
APIs & Infra
OAuth 2.0, REST APIs, Google Sheets API
Machine Learning
PyTorch, Transfer Learning
- Production-ready browser software
- Secure API integrations & authentication flows
- Applied machine learning systems
- Clean architecture and versioned releases
LinkedIn: https://www.linkedin.com/in/ethannguyen-huu/
Email: enguyenhuu@ucsd.edu
