Yan Zhu
Data Engineer
New York City Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolYan Zhu is a data engineer with 11 years of experience building scalable data systems across media and social platforms, currently based in the New York City metro area and working at Meta. He previously supported Paramount’s data needs, bringing production-grade pipelines and analytics to large-scale content operations. Yan pairs strong computer science foundations from NYU and UConn with hands-on machine learning engineering—he contributed operator implementations and tests to the well-known Caffe2 deep learning framework, including gradient and histogram-related improvements. Comfortable moving between low-level ML primitives and high-throughput data engineering, he focuses on reliable, testable solutions that surface actionable insights. Colleagues describe him as pragmatic and detail-oriented, with a knack for improving error handling and developer ergonomics in complex codebases.
11 years of coding experience
3 years of employment as a software developer
Computer Science, Computer Science at New York UniversityComputer Science, Computer Science at University of Connecticut
Github Skills (9)
machine-learning10
caffe10
deep-learning10
python10
cprogramming-language9
artificial-intelligence9
c-language9
testing8
numpy7
Programming languages (10)
Github contributions (5)
facebookarchive/caffe2
Nov 2017 - Mar 2018
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Role in this project:
ML Engineer
ML EngineerContributions:12 commits, 2 PRs, 1 push in 4 months
Contributions summary:Yan primarily contributed to the Caffe2 deep learning framework by implementing and refining operators, particularly the `NegateGradientOp`. Their work included writing the operator's forward and backward passes, associated tests, and correcting errors. The user also contributed to parameter sharing functionality by improving error outputs, demonstrating their understanding of the framework's core components. Furthermore, they implemented changes related to histogram computation and outputting.
pytorchscalablecaffe2deep-learningml
Wakeupbuddy/www
Nov 2017 - Mar 2023
Contributions:8 pushes in 5 years 4 months
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