Junlajak Jongpipattanakul

Junlajak Jongpipattanakul (Nun)

Available for full-time work

Royal Thai Scholar · MS EECS, UC Berkeley

I build full-stack apps, data pipelines, and AI systems.

I just finished my MS in EECS at UC Berkeley, after my undergrad in physics and CS, and I'm now back in Bangkok.

Junlajak Jongpipattanakul at UC Berkeley — Class of 2025
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Experience

Agoda logo

Agoda

Software Engineer Intern, FinTech Payout team · May 2024 – Aug 2024 · Bangkok

  • Designed and implemented an automated monitoring and alerting system (Grafana dashboards, Slack alerts) for deployment pipelines that reduced the post-deployment monitoring time by 50%.
  • Migrated a critical service from .NET Framework to .NET Core by restructuring code and implementing dependency injection, improving system scalability and enabling a more efficient, container-based architecture.
Line Man Wongnai logo

Line Man Wongnai

Software Engineer Intern · May 2023 – May 2024 · Remote

  • Developed features for the Line Man MiniApp (React.js, Go), a web-view version of the Line Man app that allows food ordering without an app download, reducing the barrier to entry for new users.
  • Implemented an end-to-end Playwright regression suite that automated a multi-hour manual testing process and prevented new campaigns from introducing bugs into existing features.
Studata Solution logo

Studata Solution

Full-Stack Developer (Part-Time) · Jun 2022 – Aug 2024 · Remote

  • Architected a learning management system web application with AI-driven recommendations and a feedback system using React/Next.js and Django REST Framework.
  • Implemented graph algorithms for creating personalized exams based on users' past performances and integrated OpenAI APIs to help generate exams based on model exams.
  • Deployed a real-time notification system via Socket.io and developed a LINE chatbot for production monitoring and daily activity summaries.
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Selected work

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Education

University of California, Berkeley

MS, Electrical Engineering & Computer Science

May 2026
GPA 4.00 / 4.00 Thesis

BA, Physics & Computer Science (double major)

May 2025
GPA 3.94 / 4.00