Bryan Smith is a seasoned engineering leader with 14 years of experience building large-scale, production machine learning and data platforms across finance and e-commerce. He has led globally distributed teams to deliver high-throughput ML data services that operate at trillions of datapoints daily with single-digit millisecond latencies and significant cost reductions. At Wayfair he built a flagship ML data platform and drove cross-org initiatives that sharply accelerated high-value use cases; at Capital One he has led decisioning and ML-powered experimentation platforms with measurable business impact. Bryan blends hands-on technical fluency (Python, Spark, Kubernetes, GCP/AWS, feature stores) with strategic partnership and risk management to move models from prototype to enterprise production. His background spans early-career systems and academic publishing work, giving him uncommon depth in both distributed systems and product-focused integrations. Based in Washington, D.C., he combines pragmatic engineering discipline with a knack for aligning technical investments to clear business value.
14 years of coding experience
17 years of employment as a software developer
Master's degree Library and Information Science, Master's degree Library and Information Science at University of Michigan - School of Information
BS Computer Science, BS Computer Science at Eastern Michigan University
Bachelor of Science - BS, Bachelor of Science - BS at William & Mary
Contributions:19 commits, 2 PRs, 15 pushes in 2 months
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