Jonathan Shuai
Machine Learning Engineer at Meta
Irvine, California, United States
Summary
👤
Senior🎓
Top SchoolJonathan Shuai is a machine learning engineer based in Irvine, California, with a background in computer science from UC San Diego and roughly nine years of industry experience across defense, semiconductor, and consumer tech. He has built and deployed deep learning models for satellite imagery, Trojan detection in CNNs, and production ML systems, leveraging TensorFlow, PyTorch, and data-focused tooling like MySQL and Python. At Qualcomm he served as a staff engineer and now works at Meta, demonstrating a trajectory from applied research to large-scale ML engineering. Jonathan combines strong hands-on model development with curriculum building and visualization/demo tools, reflecting a knack for translating complex models into teachable, deployable artifacts. He is particularly interested in predictive analytics and deep learning, and brings both academic rigor and practical experience in model validation and deployment. An understated strength is his experience turning research prototypes into internal training materials and demos, helping teams adopt ML solutions faster.
9 years of coding experience
6 years of employment as a software developer
University of California, San DiegoNorth Hollywood High School
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (34)
flask-application9
proxy9
flask8
qq8
formatter8
hex8
autopep87
windows7
android7
zmodem7
wechat7
hex-editor7
python7
xterm7
powershell6
Programming languages (4)
Github contributions (5)
ljhshuai/Flasky
Feb 2017 - Jul 2019
学生信息管理系统web端
Contributions:11 commits, 14 pushes, 1 branch in 2 years 4 months
vueflask-applicationflask
huster1446/Xblog
Dec 2016 - Jan 2017
Contributions:14 commits, 13 pushes, 1 branch in 11 days
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