Kai Yang

Staff Software Engineer, Machine Learning at LinkedIn

San Francisco Bay Area United States
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Summary

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Kai Yang is a Staff Software Engineer specializing in machine learning with six years of industry experience and a strong academic foundation in computational mathematics. Based in the San Francisco Bay Area, he has advanced through multiple ML engineering roles at LinkedIn—most recently leading Ads Ranking AI efforts—and previously built personalized feed ranking systems at Quora. His background includes postdoctoral research on robust hierarchical solvers for large, ill-conditioned PDE systems, reflecting deep expertise in numerical methods and scalable algorithms that inform his production ML work. Kai blends research rigor with product-scale engineering, optimizing both model performance and system stability in high-throughput environments.
code6 years of coding experience
job11 years of employment as a software developer
bookPhD candidate Mathematics minor in Computational Science, PhD candidate Mathematics minor in Computational Science at Penn State University
bookBS Information and Computational Science, BS Information and Computational Science at Jilin University
languagesChinese, English
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Github Skills (24)

forecasting-models10
python10
r10
forecasting10
forecasts10
forecast10
machine-learning9
time-series9
mutation8
julia8
deep-learning8
mxnet8
portable8
dataflow7
javascript7

Programming languages (3)

C++HTMLPython

Github contributions (5)

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linkedin/greykite

Jun 2021 - Jul 2022

A flexible, intuitive and fast forecasting library
Contributions:10 reviews, 5 commits, 13 PRs in 1 year
forecastingpythondeep-learningmachine-learningintuitive
KaixuYang/holidays-extension

Jun 2021 - Nov 2022

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Contributions:2 PRs, 22 pushes, 6 branches in 1 year 5 months
forecastingtime-series-analysisforecastslinearnon-linear
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Kai Yang - Staff Software Engineer, Machine Learning at LinkedIn