Yin Lou
Redwood City, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYin Lou is a data-focused machine learning engineer with 11 years of experience building and shipping ML systems at major tech companies including Airbnb and LinkedIn. With a Ph.D. in Computer Science from Cornell and a CS degree from Fudan, Yin blends deep research training and production engineering—work traces include internships at Microsoft Research and Bing. At Airbnb they improved model training pipelines and contributed to the popular open-source Aerosolve project by implementing stratified downsampling, class weighting and robust unit tests to harden sampling logic. Yin is based in Redwood City and is especially interested in data mining and practical ML techniques that bridge experimentation and scalable deployment.
11 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Fudan UniversityDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Cornell University
Chinese, English
Github Skills (9)
machine-learning10
subsampling10
sampling10
resampling10
data-science10
classification10
scala9
unit-testing9
regression9
Programming languages (5)
Github contributions (5)
airbnb/aerosolve
May 2016 - May 2016
A machine learning package built for humans.
Role in this project:
Data Scientist
Data ScientistContributions:6 commits, 2 PRs, 5 pushes in 1 day
Contributions summary:Yin primarily focused on improving the machine learning model training process within the Aerosolve package. Their contributions involved adding and modifying configuration options for data sampling techniques, including stratified downsampling and class weighting. They implemented unit tests to validate these changes, ensuring the correct behavior of the sampling logic. Further work involved fixing bugs related to data label conversion, and refining the unit tests.
for-humanspythonmachine-learningdata-science
yinlou/yinlou.github.io
Jun 2014 - Aug 2022
Contributions:14 commits, 15 pushes in 8 years 3 months
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