About Me
AI engineer and photographer based in Taipei, Taiwan.
I'm a Computer Science graduate from National Taiwan Ocean University (Class of 2026). My most recent project, RiffNode — an AI guitar effects studio built entirely with native Apple frameworks — won the Apple WWDC26 Swift Student Challenge.
At ITRI I optimized real-time YOLO vision models for autonomous driving, and my capstone team built a deep-learning volleyball analytics platform. I love working across the stack — from on-device ML and audio DSP to React frontends — and turning complex problems into products people can actually use.
Technical Skills
Languages
ML / AI
Frontend & Mobile
Backend & Infra
DevOps & Testing
Daily Tools
Experience
AI Image Recognition Intern
ITRI (Industrial Technology Research Institute)
Electronics and Optoelectronics Research Laboratories
- ·Optimized multi-task YOLO model for autonomous driving, improving inference speed while maintaining driving area accuracy and detection recall
- ·Implemented real-time image streaming and detection result transmission via Ethernet/ROS, processing 30 FPS with sub-50ms latency
- ·Applied neural network pruning techniques to YOLO models for edge deployment
- ·Supported research by reproducing and exploring SOTA models to benchmark performance
Education
National Taiwan Ocean University
B.S. in Computer Science and Engineering
Cotter High School
High School Diploma
Languages
Beyond Code
Off the clock I captain my department's volleyball team, scuba dive, play guitar, and develop film as darkroom officer of NTU's photography club. Most of it ends up in front of a camera sooner or later — the results live on the Photography page.