Summary
Jay Cheng is a seasoned technical manager with 9 years of experience applying deep learning, machine learning, and data mining to manufacturing problems, currently serving as 資深副理 at 欣興電子 in New Taipei. He specializes in computer vision for AOI and behavioral detection, and in leveraging ML for process-parameter optimization and key-factor discovery. Jay combines hands-on expertise in AI application development with designing scalable AI and big-data infrastructure for high-performance cluster environments. His background includes technology leadership at Microsoft and an academic foundation in data mining and industrial management (Ph.D.) plus an MBA focused on engineering/industrial scheduling. Colleagues know him for bridging research-grade algorithms and production deployment in manufacturing lines, often translating complex models into measurable yield and quality improvements. He brings a pragmatic, metrics-driven approach that surfaces non-obvious production levers through data-centric experimentation.
9 years of coding experience
Doctor of Philosophy (Ph.D.), Data Mining, Industrial Management, Doctor of Philosophy (Ph.D.), Data Mining, Industrial Management at National Taiwan University of Science and Technology
Master of Business Administration (M.B.A.), Engineering/Industrial Management, Scheduling, Master of Business Administration (M.B.A.), Engineering/Industrial Management, Scheduling at Fu Jen Catholic University
English, Chinese