I’m a software engineer based in Taipei. My day-to-day is backend microservices — Spring Boot / Spring Cloud services, distributed transactions, caching, observability, and CI/CD — and I’m currently building applied machine learning / computer vision for identity verification: face liveness and deepfake detection running as a production service.
Before backend I spent several years in SSD firmware (FTL, garbage collection, wear-leveling, power-loss recovery), which is where I got comfortable reasoning about systems from the hardware up.
What I work with#
- Backend — Java, Spring Boot, Spring Cloud, distributed transactions (Seata), MySQL / PostgreSQL, Redis, message queues
- Cloud & DevOps — Kubernetes, OpenShift, Docker, GitLab CI/CD, Grafana
- ML / CV — Python, PyTorch, ONNX, FastAPI; CNN & gradient-boosting models, full train → evaluate → deploy pipelines
- Also — C/C++ (SSD firmware), database versioning with Liquibase, TDD
Talks#
- JCConf 2024 — Using Liquibase to assist customer data migration: from adoption to integrating it into the project.
Publications#
- Gaze tracking for smart consumer electronics — IEEE International Conference on Consumer Electronics (ICCE), 2014.
- High speed gaze tracking with visible light — International Conference on System Science and Engineering (ICSSE), 2013.
Education#
- M.S., Electrical Engineering — National Taiwan Normal University
- B.S., Applied Electronics Technology (EE) — National Taiwan Normal University
Certifications#
- TOEIC 835 (2023)
- NVIDIA DLI — Fundamentals of Deep Learning for Computer Vision (2019)