Gerry Wan is a software engineer in the San Francisco Bay Area with a decade of experience focused on large-scale datacenter networking for machine learning workloads. Currently at Google after research and internship roles at Google and Microsoft, he blends production engineering with research-driven problem solving. He holds advanced computer science degrees from Stanford and a BSE in Electrical Engineering from Princeton, giving him a strong foundation across systems and hardware-aware networking. His background spans Azure and cloud networking internships through to architecting ML-ready datacenter systems, signaling a knack for turning research insights into scalable infrastructure. Colleagues would note his trajectory from elite academic training to impactful engineering roles in top cloud and AI organizations.
10 years of coding experience
1 year of employment as a software developer
BSE Electrical Engineering, BSE Electrical Engineering at Princeton University
Thomas Jefferson High School for Science and Technology
PhD MS Computer Science, PhD MS Computer Science at Stanford University
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