Wenjie Li
Applied Scientist II at Amazon
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolWenjie Li is an Applied Scientist II with eight years of experience applying statistical rigor and machine learning to Ads systems, currently based in Sunnyvale, California. With a PhD in Statistics from Purdue and a Mathematics B.Sc. from CUHK, he blends deep probabilistic modeling with practical systems engineering to drive forecasting, planning, and delivery optimization at scale. At Amazon he cut under-delivery by 50%, reduced optimization time by 80%, and dramatically lowered service failures through new algorithms and infra frameworks, and now helps found the Amazon Ads Guidance Agent—building agents, prompt engineering, RAG, guardrails and evaluation pipelines. His background includes focused research internships at Meta and Amazon where he developed recommendation optimization and prediction-interval methods for time series. Colleagues describe him as someone who translates academic depth into production impact, and he often bridges cross-functional teams to save hours of developer time per person each day.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Purdue UniversityThe Chinese University of Hong Kong (CUHK)
English, Chinese, madarine
Github Skills (41)
algorithm10
machine-learning-algorithms10
reinforcement-learning10
automl10
hyperparameter-tuning10
optimization10
data-science9
algorithms9
python9
machine-learning9
hyperparameter-optimization9
jekyll8
gradient-descent8
journal7
markdown7
Programming languages (3)
Github contributions (5)
WilliamLwj/About
Feb 2018 - Feb 2023
Contributions:931 commits, 900 pushes, 1 branch in 5 years
templategithub-pages-templatemmistakesmistakesjekyll
WilliamLwj/AdaX
Jan 2020 - Apr 2020
Contributions:15 commits, 14 pushes, 1 branch in 3 months
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