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 (38)
jekyll8
markdown8
journal7
prediction-model7
liquid7
ruby7
static-site7
open-access6
site-generator6
creative-commons5
forecast5
amazon-forecast5
deep-learning5
blog-engine5
time-series5
Programming languages (3)
Github contributions (5)
WilliamLwj/AdaX
Jan 2020 - Apr 2020
Contributions:15 commits, 14 pushes, 1 branch in 3 months
WilliamLwj/About
Feb 2018 - Feb 2023
Contributions:931 commits, 899 pushes, 1 branch in 5 years
templategithub-pages-templatemmistakesmistakesjekyll
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