Qiuyang Yin

Software Engineer at Google

California, United States
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Summary

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Senior
🎓
Top School
Qiuyang Yin is a software engineer with 10 years of experience applying statistical rigor and machine learning to ad systems and large-scale product problems, currently building ML for YouTube Ads at Google. Trained in Automation & Statistics at Tsinghua and Data Science at Harvard, he blends classical inference and optimization with pragmatic production ML work across TikTok and large internet platforms. His background spans CVR calibration, cold-start optimization, personalized ad load, and web performance—skills that bridge model development, deployment, and business metrics. Early research roles show deep experience in NLP for Chinese electronic health records and traffic safety analytics, including significant performance optimizations on large remote compute jobs. He has taught stochastic methods at Harvard, demonstrating an ability to explain complex inference and optimization concepts to practitioners. Based in California, he combines academic depth with product-focused impact on ad quality and user experience.
code10 years of coding experience
job6 years of employment as a software developer
bookMaster of Science - MS Data Science, Master of Science - MS Data Science at Harvard University
bookBachelor of Engineering - BE Automation, Bachelor of Engineering - BE Automation at Tsinghua University
languagesEnglish, Chinese
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Stackoverflow

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Github Skills (7)

python4
differentiation4
machine-learning3
automatic-differentiation3
shortest-path1
shortest-path-algorithm1
data-structures1

Programming languages (2)

JavaScriptPython

Github contributions (5)

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Contributions:8 commits, 6 pushes, 1 branch in 1 year 4 months
anno-domini-207/auto-diff

Oct 2019 - Sep 2020

Custom Python package for forward mode automatic differentiation
Contributions:32 PRs, 55 pushes, 39 branches in 10 months
pythonforward-modeautomatic-differentiationdifferentiationmachine-learning
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