Faris Sbahi is a founder and CEO with a decade of experience building mission-driven AI systems that bridge physics and computation to solve scaling and reliability challenges. He previously developed Bayesian and quantum machine learning solutions at Google and X, contributing to high-impact production ML for YouTube Ads and generative AI research. His academic work at Duke spanned quantum algorithms, variational error mitigation, and neural time-series analysis, giving him deep cross-disciplinary expertise rare among startup executives. Based in New York, he leads Normal Computing with a pragmatist’s instinct for shipping robust systems while staying grounded in theoretical rigor, and he frequently collaborates with other builders to translate research ideas into deployable products.
10 years of coding experience
6 years of employment as a software developer
Rochester High School
Bachelor of Science - BS Physics Mathematics Computer Science, Bachelor of Science - BS Physics Mathematics Computer Science at Duke University
Dual Enrollment, Dual Enrollment at Oakland University
Doctor of Philosophy - PhD Theoretical and Mathematical Physics, Doctor of Philosophy - PhD Theoretical and Mathematical Physics at PhD drop-out
Contributions:1 release, 54 commits, 1 PR in 3 months
arkitrealityaugmentedaugmented-realityswift
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