Boyce Tsang is a Machine Learning Engineer with 11 years of experience building real-time 3D perception and tracking systems, currently working on applied ML at Meta in the Greater Seattle area. He brings a strong physics and experimental background (PhD, UIUC) that informs practical solutions for complex sensing problems, from microscope automation to large-scale production models. Prior roles at Intel saw him advance from data scientist to staff data scientist working on pathfinding, automation infrastructure, and computational simulation for lithographic mask correction. Known for bridging lab-grade measurement techniques with robust software pipelines, he combines hands-on instrumentation experience, algorithm development, and production deployment. Colleagues value his blend of deep scientific rigor and pragmatic engineering that turns noisy real-world signals into reliable, low-latency systems.
11 years of coding experience
12 years of employment as a software developer
Exchange Student, Physics, Exchange Student, Physics at University of California, Berkeley
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