Paul Szerlip
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolPaul Szerlip is a Co-Founder and senior research scientist with 14 years of experience translating cutting-edge ML research into high-impact production systems. He led development of Uber’s first real-time deep learning demand-forecasting models and the training framework that runs 50+ production models, work that materially increased revenue. More recently he’s built AI-driven healthcare supply management tooling for DoD use and now co-leads an effort to ship on-device AI engines for video games. His background blends a PhD in computer science with hands-on startup and acquisition experience, making him fluent in both research rigor and product execution. Colleagues describe him as product-focused and pragmatic—equally comfortable delivering investor-facing demos or architecting production ML pipelines.
14 years of coding experience
5 years of employment as a software developer
Bachelor of Arts (B.A.), Mathematics, Bachelor of Arts (B.A.), Mathematics at Tufts UniversityDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Central Florida
Github Skills (60)
pytorch10
probabilistic-programming10
variational-inference10
python10
machine-learning10
bayesian10
density-estimation10
deep-learning10
probabilistic10
probabilistic-graphical-models10
probabilistic-models10
bayesian-inference10
recommender-system8
approximate-nearest-neighbor-search8
edward8
Programming languages (7)
Github contributions (5)
OptimusLime/iesor-physics
Nov 2013 - Mar 2014
Contributions:11 commits in 3 months
OptimusLime/ml_unity_pipeline
Mar 2018 - Jan 2019
Handle the piping between Python and Unity. Helpers for ML in Python (PyTorch, Tensorflow, Pyro/Edward) as well as C# classes for quick domain construction.
Contributions:27 commits, 2 PRs, 12 pushes in 10 months
pytorchpipingpythondeep-learningmachine-learning
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