Michael Sevilla is a Member of Technical Staff with 13 years of experience designing and implementing distributed storage and compute systems, currently applying AI to reduce data center costs at MEXT. He earned a PhD in Computer Science from UC Santa Cruz, where his research focused on metadata management, load balancing, and reproducibility in storage systems like Ceph. At TidalScale and later HPE he led architecture for a distributed hypervisor and management applications that enable scale-up software to run across clustered nodes, with hands-on kernel and CI/CD experience. His background spans industry and national lab projects—from cache policies for molecular dynamics at Los Alamos to object-storage gateways and benchmarking at Hewlett-Packard—demonstrating an ability to bridge research and production. Based in California, he combines deep systems research instincts with practical engineering delivery, often tackling the subtle tradeoffs in IO, programmability, and operational reproducibility. An underrated strength is his track record of translating experimental systems research into deployable infrastructure and management tooling.
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