Aaron Bradley is a data infrastructure engineer with 11 years of experience building experimentation and recommendation systems, currently focused on scaling data platforms at Superhuman after a stint at Grammarly. He designed and led Stitch Fix’s company-wide A/B testing and experimentation ecosystem—from low-latency randomization engines to analytics pipelines and inference models—and returned to IC work when he wanted to be hands-on with complex systems. Aaron blends deep quantitative training (PhD in Physics from UC Berkeley) with practical product and PM skills, having transitioned between algorithm development, experimentation science at Netflix, and founding a startup. He thrives on high-uncertainty, high-impact projects and is especially comfortable architecting infra that makes rigorous experimentation repeatable across an organization.
11 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at University of California, Berkeley
Bachelor of Science (BS) Physics, Bachelor of Science (BS) Physics at University of Denver
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