Michael Barnathan is a seasoned AI and generalist software engineering leader with 10+ years of experience building and scaling ML teams and production AI systems across startups and tech giants. He has led high-impact orgs—from founding and exiting startups to scaling ML at Cash App (30→150 people) and architecting recommendation and anti-cheat stacks at Meta and Niantic—delivering multi-million to eight-figure ARR lifts. Michael couples deep research roots (PhD-level ML and medical AI publications) with hands-on systems work (Bazel contributions, feature stores, RAG/agent infrastructure) and a track record of shipping platform-level tooling that teams run at scale. He also teaches AI engineering topics to early-career professionals and repeatedly hires and grows leaders who go on to run critical platforms. Based in New York, he blends entrepreneurial grit with product-focused technical leadership and a knack for turning experimental models into reliable business outcomes.
10 years of coding experience
21 years of employment as a software developer
Ph. D. Computer and Information Sciences (Machine Learning Computer Vision Bioinformatics), Ph. D. Computer and Information Sciences (Machine Learning Computer Vision Bioinformatics) at Temple University
BS Computer Science math minor, BS Computer Science math minor at Monmouth University
Contributions:40 commits, 23 pushes, 1 branch in 5 months
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.
Request Free Trial
Michael Barnathan - Leading Feed Ranking at Coinbase