Zhongbo Yan
Software Engineer at Google
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolZhongbo Yan is a software engineer based in San Francisco with nine years of experience at the intersection of cloud, ML, security, and full‑stack engineering. He has moved machine learning projects from research to production at scale—architecting an MLOps pipeline on GCP that sped deployments from weeks to hours and deploying models across millions of Android TVs. His academic work on adversarial data augmentation improved AlexNet generalizability on knee MRI datasets and was published at IEEE ICSESS, demonstrating a rare blend of applied research and production impact. Zhongbo also brings hands‑on systems experience from internships building Kubernetes‑deployed MES, real‑time chat UIs, and native iOS apps, and he mentors students on LLM safety and ML security topics. He blogs at aspires.cc, where he explains technical ideas and visual designs, reflecting a strong communicator who bridges engineering, research, and product.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computing Program, Bachelor of Science - BS, Computing Program at Macao Polytechnic UniversitySummer Research Program, Computer Science, Summer Research Program, Computer Science at Alma Mater Studiorum – Università di BolognaMaster’s of Science, Mobile and IoT, Master’s of Science, Mobile and IoT at Carnegie Mellon University
Chinese, Chinese, English, French
Github Skills (13)
web-application9
ghost9
linux9
windows9
nodejs9
raycast9
javascript8
cms8
jamstack8
journalism8
headless-cms7
audience7
ember6
Programming languages (4)
Github contributions (5)
Ex10si0n/algorithms
Oct 2021 - Sep 2022
Contributions:116 commits, 69 pushes, 1 branch in 11 months
Ex10si0n/machine-learning
Dec 2021 - Mar 2022
Contributions:1 release, 54 commits, 22 pushes in 2 months
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