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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Shark

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Shark

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MokeyCodes/README.md

Ethan Nguyen-Huu

Computer Science (AI) @ UC San Diego — 4.0 GPA
Founder of JATS — Production Chrome Extension (OAuth + Google Sheets API)
Focused on building scalable, browser-native tools and AI-driven systems.

🚀 Featured Project

JATS — Job Application Tracking Chrome Extension

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 → v1.1.0)

🔗 Chrome Web Store: https://chromewebstore.google.com/detail/papieahfnaoehbgnlaihbcipfgfboobk
🔗 GitHub Repository: https://github.com/MokeyCodes/JATS

🧠 Selected Work

Safety-Constrained Navigation with CBF-QP

  • Evaluated CLF-CBF-QP vs. CBF-QP control frameworks for autonomous navigation, analyzing trade-offs in stability guarantees, tuning complexity, and control performance.
  • Selected a CBF-QP-based controller to simplify tuning and improve directional consistency, while maintaining robust real-time obstacle avoidance.
  • Designed a nominal tracking controller with a lookahead-point formulation, combined with CBF safety constraints to decouple goal-seeking behavior from safety enforcement.
  • Implemented and validated a CBF-QP controller by formulating affine safety constraints and solving real-time quadratic programs (CVXPY) in a Python simulation with dynamic obstacles.
  • Identified and mitigated challenges in CLF-based direction computation and slack-variable tuning, improving controller reliability and interpretability.

🛠 Technical Stack

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

🔎 Engineering Focus

  • Production-ready browser software
  • Secure API integrations & authentication flows
  • Applied machine learning systems
  • Clean architecture and versioned releases

📫 Contact

LinkedIn: https://www.linkedin.com/in/ethannguyen-huu/
Email: enguyenhuu@ucsd.edu

Chrome Web Store

TypeScript Chrome Extensions OAuth2 Next.js PyTorch

📈 GitHub Stats

Pinned Loading

  1. clf-cbf-robot clf-cbf-robot Public

    Python 1

  2. minecraft-biome-classifier minecraft-biome-classifier Public

    Jupyter Notebook 1

  3. JATS JATS Public

    Track your job applications effortlessly: auto-fill job info from LinkedIn, Handshake, and UCSD Jacobs Portal into your personal Google Sheet. Logs job applications to the user's Google Sheet (temp…

    JavaScript 1