Shawn O'hare is a Principal Engineer and Data Systems Architect in San Francisco with 11 years of experience building scalable ML and data platforms. Trained as a mathematician (PhD work in representation theory), he applies advanced algebraic and topological ideas to design theoretically grounded solutions for real-world data problems. His career spans startups and enterprise roles—leading data architecture at Skupos and developing production ML and analytics at Workday, Restless Bandit, and 140 Proof. He has built everything from recommender systems and clustering in ad hoc metric spaces to Bayesian stochastic models for financial products, and contributes to backend services in Go with NoSQL and Redshift-backed systems. Known for bridging deep theory and pragmatic engineering, he also brings teaching experience and a history of making complex math accessible to diverse audiences.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Arts (B.A.), Mathematics, Bachelor of Arts (B.A.), Mathematics at Humboldt State University
Mathematics, Mathematics at Uppsala universitet
Mathematics, Mathematics at The Evergreen State College
Oak Park High School
Doctor of Philosophy (PhD), Mathematics, Doctor of Philosophy (PhD), Mathematics at UC Santa Cruz
A feature minimal symlink farm manager (e.g., GNU stow) written in POSIX shell script.
Contributions:4 releases, 21 commits, 2 PRs in 2 years 2 months
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Shawn O'hare - Principal Engineer, Data Systems Architect