Bryan Galvin is a Principal AI/ML consultant and engineering leader with 11 years of experience building ML capabilities end-to-end—from founding a startup to scaling data teams and platforms at enterprise scale. He has a strong track record of turning prototypes into production, having taken Priceflow from concept to acquisition, led Metaflow adoption at Netflix and Best Egg, and built MLOps tooling that empowered 20+ data scientists. Bryan combines hands-on coding and system design with people leadership, running trainings, 1:1 coaching, and platform roadmaps that prioritize high-leverage outcomes. He’s fluent in event-driven architectures and AWS-based deployments, and has guided migrations to modern stacks like DBT and Snowflake while automating infrastructure with CDK. Now transitioning from consulting, he’s exploring staff+ IC roles where he can both ship infrastructure and mentor teams building GenAI-evaluated, observable, production-ready systems. An unusual strength is his ability to operate across time zones and org layers—demonstrated by managing distributed engineering teams and seeding ML functions from scratch.
11 years of coding experience
14 years of employment as a software developer
Master's degree, Statistics, Master's degree, Statistics at UC Santa Barbara
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