Le Zhang
Machine Learning Engineer
Ames, Iowa, United States
Summary
👤
Senior🎓
Top SchoolLe Zhang is a Staff ML Infrastructure Engineer based in Austin with a PhD in Industrial Engineering and a decade of experience building production AI across retail and financial enterprises. He has led end-to-end ML ecosystems—from feature stores and real-time inferencing to model monitoring and CI/CD—delivering personalization and forecasting solutions at scale for companies like Walmart, Michaels, Visa, and now Quince. Equally comfortable in hands-on engineering and technical leadership, he blends rigorous experimental methods (DOE, causation analysis) with product-minded UX sensitivity to drive measurable business impact. His background spans research, applied data science, and platform engineering, enabling smooth transitions from prototypes to resilient microservices on big-data cloud platforms. Notably, he’s navigated both the algorithmic depth of time-series and deep learning models and the operational complexity of deploying them reliably in high-throughput retail environments.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Engineering, Doctor of Philosophy (Ph.D.), Computer Engineering at Iowa State UniversityMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Illinois SystemBachelor of Engineering (B.E.), Mechanical Engineering, Bachelor of Engineering (B.E.), Mechanical Engineering at Shanghai Jiao Tong University
English, Chinese
Github Skills (17)
youtube9
m3u9
iptv9
chromeos8
jigsaw8
proxy-server8
cordova8
linux7
android7
macos6
nodejs6
windows6
ios6
electron5
docker5
Programming languages (3)
Github contributions (5)
lezhangisu/Structure-Based-Sybil-Detection
Apr 2017 - Apr 2019
Contributions:8 commits, 8 pushes, 1 branch in 2 years
lezhangisu/lezhangisu.github.io
Feb 2017 - Jul 2024
Contributions:62 pushes, 1 branch in 7 years 6 months
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