Brian Hannafious is a Solutions Architect with roughly a decade of professional experience building cloud-native, distributed systems for data-intensive domains, currently focused on financial data infrastructure at GMO. He has a strong background in scalable storage and workflow orchestration from prior roles enabling genomics platforms (HCA, BioDataCatalyst/AnVIL) and wastewater analytics, bringing practical expertise in Python, Terraform, and cloud CI/CD. Brian combines research rigor—holding a PhD in Physics—with hands-on engineering, having implemented core tooling like gs-chunked-io and terra-notebook-utils to make large genomic datasets accessible in the cloud. He excels at translating domain-specific analysis needs into robust, efficient architectures that let teams operate at scale, and he often mentors engineers and drives best practices across projects. An often-overlooked strength is his cross-disciplinary experience from computational physics to mobile apps, which gives him unusual fluency between algorithmic modeling and production systems.
8 years of coding experience
14 years of employment as a software developer
BS, Mechanical Engineering, BS, Mechanical Engineering at University of Alaska Fairbanks
PhD, Physics, PhD, Physics at New Mexico State University
Contributions:4 reviews, 12 commits, 25 PRs in 6 months
clispythondecoratorspython-decoratorspython3
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