Jeffrey Moore is an AI architect with a decade of experience building production ML systems across domains from foodservice go-to-market intelligence to electrical grid forecasting and genomics diagnostics. He blends hands-on engineering and research instincts—holding a PhD in physics where he developed HPC simulations of cellular biophysics—with practical product delivery as a founding ML hire and tech lead. Jeffrey has repeatedly taken projects from prototype to production, applying time-series methods, probabilistic forecasting, and automation to drive commercial impact. A former Army sniper, he brings disciplined problem-solving and field-tested leadership to complex, noisy data problems. Based in Boulder, he spends his spare time inventing small AI projects, playing chess and racket sports, and backpacking with his dog.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of Colorado Boulder
Bachelor of Science (B.S.) Physics, Bachelor of Science (B.S.) Physics at University of Iowa
Dockerfiles for images used as part of the Orbyter toolset
Contributions:6 releases, 9 reviews, 20 commits in 1 year 9 months
dockerfilestoolsetdocker-imagedocker
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.