Eric Zeng
Software Engineer, Machine Learning at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolEric Zeng is a Machine Learning Engineer in New York with nine years of experience building production ML systems and quantitative finance tooling. He has transitioned from quantitative developer roles at hedge funds to senior infrastructure work at Bloomberg (BQuant, C++ core community) and now focuses on ranking, scaling laws, and AI agents at Meta. Comfortable across C++ and Python, he blends backend engineering rigor with statistical modeling to extract alpha from alternative data and operationalize models at scale. He holds dual MS degrees in Data Science and Financial Engineering, reflecting a strong quantitative foundation paired with practical software delivery. Known for bridging research and production, he brings a pragmatic focus on scalable, high-performance ML systems that support both finance and consumer AI use cases.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS Financial Engineering, Master of Science - MS Financial Engineering at Baruch CollegeMaster of Science - MS Data Science, Master of Science - MS Data Science at New York UniversityBachelor's degree Theoretical and Applied Mechanics, Bachelor's degree Theoretical and Applied Mechanics at Sun Yat-sen University
Chinese, English
Github Skills (7)
data-structures1
computer-vision1
python1
cpp1
deep-learning1
image-processing1
super-resolution1
Programming languages (3)
Github contributions (5)
bz866/Data-Structures-and-Algorithms
Aug 2019 - Jun 2020
Contributions:110 commits, 99 pushes, 1 branch in 9 months
bz866/Resume-Binqian_Zeng
Mar 2017 - Apr 2020
Contributions:64 pushes, 1 branch, 1 issue in 3 years 2 months
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