Zehai Wang
Machine Learning Engineer at Apple
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolZehai Wang is a Machine Learning Engineer with a decade of technical experience and over five years focused on building and deploying ML solutions for eCommerce at scale. He has led cross-functional teams at Wayfair to deliver production ML pipelines and model-evaluation frameworks handling terabytes of data using Spark, Kedro, SQL and Python, and now applies that expertise at Apple. Trained as a computational engineer with a PhD in aerospace engineering and an MS in applied mathematics from RPI, Zehai brings rigorous numerical and statistical foundations to practical problems like product matching, multimodal style prediction, and catalog onboarding optimizations. He’s equally comfortable architecting ETL and monitoring systems as he is developing embedding-based similarity models that reduced selection errors and cut onboarding latency. Known for bridging research-grade methods and production engineering, he prioritizes measurable business impact through close stakeholder collaboration. A less obvious strength is his background in mechanical simulation and open-source numerical work, which informs a structured, physics-inspired approach to modeling and system design.
10 years of coding experience
10 years of employment as a software developer
Bachelor's degree Aerospace Aeronautical and Astronautical Engineering, Bachelor's degree Aerospace Aeronautical and Astronautical Engineering at Tongji UniversityDoctor of Philosophy (Ph.D.) Aerospace Aeronautical and Astronautical Engineering, Doctor of Philosophy (Ph.D.) Aerospace Aeronautical and Astronautical Engineering at Rensselaer Polytechnic Institute
Chinese, Japanese, English
Github Skills (8)
java7
markdown3
biomedical2
macos2
sublime2
streaming-data1
hexo1
streaming1
Programming languages (1)
Github contributions (5)
wangz19/PBC
Nov 2016 - Jan 2019
Contributions:6 commits, 8 pushes, 1 branch in 2 years 2 months
wangz19/Stack-overflow-datascience-atlas
Feb 2019 - Feb 2019
Contributions:58 commits, 52 pushes, 1 branch in 18 days
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