Michael Kuo is a data-driven technology and operations leader with eight years of experience translating complex engineering and manufacturing data into actionable business outcomes, currently serving as COO at COMDEK where he helped drive 341% revenue growth over three years. He combines a Ph.D. in EECS from the University of Michigan with hands-on machine learning and statistical expertise developed at Intel (yield forecasting, automation, and image-based failure detection) and Amazon (supply chain and transportation execution models), leading teams to build forecasting, automation, and visualization pipelines. Comfortable switching between individual contributor and executive roles, he has led data science teams, scoped ambiguous problems, and delivered production-ready models that improve operational decision making. Equally at home in code—he enjoys Go and applies software engineering to operational problems—he pairs deep semiconductor process knowledge with supply-chain analytics and an executive MBA mindset.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical Engineering and Computer Science, Doctor of Philosophy (Ph.D.) Electrical Engineering and Computer Science at University of Michigan
Executive MBA Business Administration and Management General, Executive MBA Business Administration and Management General at National Taiwan University
Bachelor of Science (BS) Physics, Bachelor of Science (BS) Physics at Tunghai University
Master's degree Electrical and Computer Engineering, Master's degree Electrical and Computer Engineering at UC Santa Barbara
Contributions:4 releases, 80 commits, 25 PRs in 2 years 6 months
golangkoboreact-nativeesp8266android
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