Aaron Levine is a Principal Data Scientist based in California with 11 years of technical experience and 5+ years specializing in production machine learning solutions across domains like compute resource allocation and accounting risk management. He combines a strong research foundation—a PhD in Physics and hands-on LHC data analysis experience—with consulting leadership at Accenture where he progressed from consultant to principal. Aaron excels at end-to-end problem solving, moving models from prototype to business-impacting deployments while translating complex technical details for stakeholders. His background includes performance-critical algorithm development in Python and C++ and a demonstrated track record improving real-time systems (e.g., trigger algorithms for CMS). Comfortable in both research and enterprise settings, he brings a blend of scientific rigor, engineering best practices, and operational readiness to data-driven initiatives. A non-obvious strength is his experience on 24/7 operational rotations in high-stakes experimental systems, which informs his reliability-focused approach to production ML.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of Wisconsin-Madison
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Rice University
Contributions:1 push, 1 branch in 11 years 4 months
jekyll-blogjekylljekyll-thememinutes
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.