Summary
Samuel Monson is a Senior Software Engineer with a decade of hands-on experience building and tuning performance-sensitive systems, currently shaping AI performance tooling at Red Hat as maintainer of GuideLLM. He progressed from DevOps internships into product-facing roles supporting OpenShift AI and RHEL AI stacks, blending systems administration, Ansible automation, and performance engineering. Samuel holds dual computer science degrees and a mathematics BA from Seattle University and brings practical experience shipping Python-based internal tools on OpenShift from his F5 capstone. He enjoys working at the intersection of infrastructure and AI, focusing on measurable performance characteristics rather than black‑box models. Based in Somerville, MA, he combines academic rigor with a history of mentoring and teaching younger learners, reflecting a patient, methodical approach to engineering. Notably, his career arc shows rapid growth from lab ops to leading Open Source performance work inside a major enterprise.
10 years of coding experience
1 year of employment as a software developer
Associate of Arts and Sciences - AAS, Associate of Arts and Sciences - AAS at Wenatchee Valley College
Master of Science in Computer Science, Computer Science, Master of Science in Computer Science, Computer Science at Seattle University