Summary
Canzhi Ye is a data scientist-engineer with 12 years of experience applying machine learning and software engineering to sports analytics and betting. He has co-founded and built consumer-facing products and startups (sidelineHD, Photon, Rectangle) and led engineering at Diamond Kinetics after an acquisition. Canzhi’s recent work focuses on building predictive models that consistently win in competitive wagering markets, combining quantitative methods with unconventional domain expertise gained from hands-on event analysis. He has applied these skills across professional sports analytics (Brooklyn Nets), large consumer platforms (Nextdoor), and high-stakes Olympic betting syndicates, achieving measurable returns in live competition. A UC Berkeley EECS graduate, he blends product instincts, low-level signal processing (image/IoT for solar) and full-stack development to turn messy real-world data into deployable systems. An under-the-radar strength is his habit of embedding in data-generation environments (e.g., traveling to events) to validate models against ground truth.
12 years of coding experience
11 years of employment as a software developer
Ronald Reagan High School
B.S. Electrical Engineering and Computer Science, B.S. Electrical Engineering and Computer Science at UC Berkeley College of Engineering
English, Chinese