Brent Werness
Seattle, Washington, United States
Summary
🤩
RockstarBrent Werness is a mathematically grounded leader who leverages a PhD in probability theory and statistical physics to shape machine learning education and defect-elimination at scale. With six years in industry roles at Amazon and prior postdoctoral research at the University of Washington and ETH Zürich, he combines deep theoretical insight with hands-on program building as Manager of Applied Science for World-wide Defect Elimination. He spent much of his Amazon tenure designing and delivering Machine Learning University curricula, translating complex probabilistic concepts into practical training for engineers. Brent is based in Seattle and is known for applying rigorous statistical thinking to production ML challenges, reducing systemic failures rather than treating symptoms. Colleagues rely on his rare blend of academic credibility and operational focus to improve model reliability across large organizations. Behind the scenes he retains a researcher’s curiosity, often approaching problems from first principles rather than conventional tooling.
6 years of coding experience
Github Skills (40)
notebook10
pytorch10
kaggle10
python10
data-science10
mxnet10
machine-learning10
gluon10
reinforcement-learning10
gaussian-processes10
boosting10
hyperparameter-optimization10
keras10
sklearn10
deep-learning10
Programming languages (2)
Github contributions (5)
bwerness/d2l-en
Oct 2019 - Oct 2019
Contributions:2 pushes in 1 day
aws-samples/aws-machine-learning-university-accelerated-nlp
Aug 2020 - Dec 2021
Machine Learning University: Accelerated Natural Language Processing Class
Contributions:2 reviews, 5 commits, 5 PRs in 1 year 3 months
machine-learningnatural-language-processingdeep-learningpythongluon
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.