Tsz Yu is a Computer Vision Engineer with over a decade of applied research in computer vision and 12+ years of software development experience, currently building ML-driven hand tracking systems for XR at Meta. He holds a fully funded PhD from the University of Cambridge and has a track record of shipping efficient vision and ML solutions for phones, tablets, wearables and IoT—from co-founding a mobile face-recognition startup in 2011 to delivering large-scale, cloud-based video processing at Amazon Lab126. His technical strengths span hand and human-pose tracking, object tracking, deep learning, random forests and optimization, plus designing ML pipeline architecture for production. Comfortable bridging research, product and infrastructure, he regularly collaborates with UX and infra teams to turn prototypes into deployable systems. Based in California, he combines academic rigor with entrepreneurial pragmatism and a specialty in squeezing high performance out of constrained devices.
12 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Information Engineering, Doctor of Philosophy (Ph.D.), Information Engineering at University of Cambridge
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