Michael Galaxy is a Senior Performance Software Engineer with 11 years of hands-on experience tuning hypervisors, virtualization stacks, and cloud platforms for predictable, high-throughput operation. He has driven performance and stability at DigitalOcean and Akamai (including Linode) and now applies that deep systems expertise at NVIDIA, blending OS-level hacks, custom networking, and VM/container work to eke out resource fairness and efficiency. A Ph.D.-trained researcher with roots at IBM Research and Columbia, he combines academic rigor in memory overcommitment and fault tolerance with practical production engineering. Michael's work is distinguished by experimental systems thinking—building measurable proofs that VMs are "getting what they're owed"—and an unusual early background in classical piano that hints at disciplined, creative problem solving.
11 years of coding experience
11 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Florida State University
Johns Hopkins University
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Binghamton University
High School, High School at University of North Texas - Texas Academy of Math and Science
High School Classical Piano, High School Classical Piano at Booker T. Washington School for the Performing and Visual Arts
Contributions:9 PRs, 171 pushes, 36 branches in 2 years 7 months
gcpexperimentationanalysis-toolkitcloudrapid
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Michael Galaxy - Senior Performance Software Engineer at NVIDIA