Yun Zhang
Sr Staff Machine Learning Engineer at Uber
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolYun Zhang is a Sr. Staff Machine Learning Engineer at Uber with nine years of experience applying real-time ML to high-impact production systems. He holds a Ph.D. in Environmental Fluid Mechanics and Hydrology from Stanford, where he spent six years as a research and teaching assistant modeling complex physical systems—expertise he now brings to data-driven infrastructure and streaming inference. Based in Palo Alto, he blends academic rigor with product-focused engineering, translating ocean and environmental modeling insights into robust ML solutions. At Uber since 2018, Yun focuses on latency-sensitive pipelines and scalable model deployment, often bridging domain science and software to solve unexpected production challenges.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Environmental fluid mechanics and hydrology, Doctor of Philosophy (Ph.D.), Environmental fluid mechanics and hydrology at Stanford University
Chinese, English
Github Skills (7)
ocean8
modelica7
power-systems7
sbml7
hydrodynamics7
snl-applications6
machine-learning5
Programming languages (1)
Github contributions (5)
zyaj/suntans-general-vertical-coordinate
Dec 2016 - Feb 2019
Contributions:121 commits, 27 pushes, 2 branches in 2 years 2 months
zyaj/atomsphere-regional-model
Oct 2016 - Jun 2017
Contributions:1 push, 1 branch in 7 months
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