Summary
Hannchyun Chen is a Machine Learning Engineer based in Taipei with nine years of experience building production-ready computer vision and web systems. Self-taught and research-driven, he has deployed multi-model defect inspection pipelines and scalable AI services using PyTorch, OpenCV, Docker/Kubernetes, and AWS, and has a track record of improving hardware cost and automation in manufacturing settings. He built a no-hand-label workflow for object detection and delivered a logo detector that achieved ~90% accuracy on in-the-wild images, demonstrating practical problem-solving at scale. Comfortable across Python, Go, JavaScript and C++, he bridges ML research and product by shipping responsive dashboards, monitoring stacks (Prometheus/Grafana), and automated deployments. A polyglot graduate in mechanical engineering and translation, he combines cross-disciplinary communication skills with a knack for automating repetitive work and a habit of turning papers into working prototypes.
9 years of coding experience
2 years of employment as a software developer
Chinese-English Translation and Interpretation Program, Foreign Languages and Literatures, Chinese-English Translation and Interpretation Program, Foreign Languages and Literatures at 國立臺灣大學
Chinese, English