Fu Shang
Principal Machine Learning Engineer at Workday
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolFu Shang is a Principal Machine Learning Engineer with eight years of experience building production ML systems across finance, adtech, and consumer platforms. After an aerospace engineering start and an MS in Data Science from NYU, he progressed from research and risk modeling at Goldman Sachs to ads and recommendation work at TikTok and now leads Agent Factory efforts at Workday. His strengths include end-to-end model service and feature service engineering, time-series and NLP applications, and practical experience with LightGBM/XGBoost, deep learning, and feature pipelines. Comfortable bridging research-grade simulation and production constraints, he combines strong mathematical instincts with a background in fine arts and classical music that informs thoughtful, creative problem-solving.
8 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at New York UniversityMaster of Engineering - MEng, Aerospace Engineering, Master of Engineering - MEng, Aerospace Engineering at Beihang UniversityExchange Study, System Engineering, Exchange Study, System Engineering at University of Tsukuba
English, Chinese, Japanese
Github Skills (17)
testing4
capstone4
python3
build-automation3
pybuilder3
machine-learning2
science2
build-tools2
automation2
distributed-systems1
machine-learning-algorithms1
gcp1
distributed-computing1
kubernetes1
cloud-computing1
Programming languages (2)
Github contributions (5)
firstkeaster/LeetCode_CaiJiHuZhuo
May 2018 - Apr 2019
Contributions:34 pushes, 1 branch in 10 months
firstkeaster/BigData_proj
Apr 2018 - May 2018
Contributions:24 commits, 20 pushes in 29 days
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