Jonathan Hui
Applied Scientist Strategist Engineer (Machine Learning & Deep Learning)
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJonathan Hui is an applied scientist and strategist with nine years focused on machine learning and deep learning, and a two-decade software engineering background spanning imaging, enterprise systems, and web/mobile architecture. Based in San Francisco, he leads end-to-end ML initiatives—covering computer vision, NLP, reinforcement learning, and recommendation systems—bringing research-minded rigor to high-uncertainty problems and production delivery. His career includes leadership at Canon’s Core Imaging Group and senior consulting for Fortune clients, giving him a rare blend of product-quality engineering, standards experience, and large-scale systems thinking. As an independent consultant at InnoTrekker he combines hands-on model development with architectural strategy, routinely prototyping novel ML approaches and navigating diverse tech stacks. Notably, he moves fluidly between research and pragmatic deployment, turning experimental methods into operational ML systems.
9 years of coding experience
13 years of employment as a software developer
M.S, Electrical & Computer Engineering, M.S, Electrical & Computer Engineering at University of Wisconsin-Madison
English, ChineseProgramming languages (1)
Github contributions (5)
jhui/jhui.github.io
Dec 2016 - Jan 2021
Contributions:1 release, 696 commits, 651 pushes in 4 years 1 month
jhui/deep_learning
Jan 2017 - Jul 2018
Contributions:71 commits, 61 pushes, 1 branch in 1 year 6 months
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