Guoxin Li
Staff Machine Learning Engineer at Affirm
Los Altos, California, United States
Summary
🤩
Rockstar🎓
Top SchoolGuoxin Li is a Staff Machine Learning Engineer with 10 years of experience applying advanced statistical and ML methods to fintech and adtech problems, currently leading ML efforts at Affirm. Trained in mathematics and applied statistics (UC Davis, Oxford), he blends strong theoretical foundations—Bayesian methods, spatio-temporal models, MCMC—with hands-on production skills in PySpark, MLlib, scikit-learn and NLP. He has driven large-scale pipelines analyzing billions of location events and boosted campaign visit rates by up to 70% through predictive models and look-alike systems. Early work includes inventing a Bayesian feature-based logistic regression for job matching that improved accuracy by 20% and significant speedups from Spark-based processing frameworks. Based in Los Altos, he pairs rigorous research experience with practical engineering to move models from prototype to high-throughput production.
10 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Statistics, 3.78, Bachelor’s Degree, Statistics, 3.78 at University of California, DavisMaster’s Degree, Applied Statistics, Master’s Degree, Applied Statistics at University of Oxford
Github Skills (10)
matching9
collaborative-filtering8
advertising6
meta5
analytical5
machine-learning4
deep-learning4
pytorch4
python3
scalable2
Programming languages (2)
Github contributions (5)
xiaofeifei1800/Kaggle
Jul 2016 - Mar 2018
Contributions:90 pushes, 1 branch in 1 year 8 months
xiaofeifei1800/Oxford
Oct 2016 - Sep 2017
Contributions:74 pushes, 1 branch in 10 months
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