Taylor Jordan Smith focuses on the operational side of open source AI. With a background in Linux and Kubernetes development, she helps engineering teams figure out how to put machine learning workloads into production.
At Red Hat, she explores the engineering realities of modern AI systems. Her work covers the technical tradeoffs of self-hosting inference models and creating reliable frameworks for evaluating multi-step AI agents beyond standard benchmarks.
Based in North Carolina, she spends her offline hours enjoying music and hanging out with animals.
