Yen-pin Cheng is a software engineer with 11 years' experience specializing in connectivity firmware and computer vision, currently working on Wi‑Fi concurrency algorithms at MediaTek in Taipei. He has a proven track record of turning research into practical tools—most notably an automated Wi‑Fi concurrency tester that cut IT time by 80%—and has benchmarked and reverse‑engineered flagship smartphone chips to surface concrete improvements. Prior work includes building an AI system that detects basketball shot events with over 90% accuracy under realistic camera motion, reflecting strength in robust vision models and real‑world deployment. Comfortable in both academic and industrial settings, he combines deep learning research from his MEng with hands‑on firmware and tooling development, and often digs into root causes rather than treating symptoms.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Technology Application and Human Resource Development, Bachelor's degree, Technology Application and Human Resource Development at National Taiwan Normal University
Master of Engineering - MEng, Information System and Application, Master of Engineering - MEng, Information System and Application at National Tsing Hua University
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