Graham Miao is a software engineer with nine years of experience who blends rigorous academic training (PhD in Theoretical and Computational Chemistry from UPenn) with production engineering at scale. He currently develops statistical, latency- and resource-aware algorithms for Google’s Serverless Scheduling team and previously built core data services and migration pipelines at Bloomberg. His background in HPC administration and highly parallel C++ simulation work informs a practical expertise in performance optimization—he once reduced a simulation component’s cost by 98%. Comfortable across systems from low-level cluster provisioning to client-facing product releases, he excels at turning complex numerical and data requirements into reliable, efficient services. Based in Philadelphia, he brings a researcher’s attention to correctness together with hands-on experience shipping resilient infrastructure.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Theoretical and Computational Chemistry, 4.0/4.0, Doctor of Philosophy - PhD, Theoretical and Computational Chemistry, 4.0/4.0 at University of Pennsylvania
Bachelor of Science (B.S.), Chemistry, 3.84/4.0, Bachelor of Science (B.S.), Chemistry, 3.84/4.0 at Zhejiang University
Contributions:137 pushes, 2 branches, 79 tags in 6 months
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