Harrison Chu is a product-focused engineering leader with 11 years of experience building and shipping machine-learning driven systems and marketplace infrastructure. Currently Director of Engineering at Arize AI in New York, he previously led Lyft’s Dispatch & Matching team and helped design the ML infrastructure that powered Pricing, Matching, and Dispatch. His background spans real-time bidding algorithms and ad-tech integrations at TubeMogul through hands-on roles from ad operations to ML engineering, giving him rare end-to-end experience from research to production. Known for combining entrepreneurial curiosity with rigorous attention to detail, he excels at turning complex technical challenges into high-impact product features.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (B.A.) Mathematics, Bachelor of Arts (B.A.) Mathematics at University of California, Berkeley
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