Taylor specializes in helping global enterprises transition Generative AI from experimental pilots to production-scale deployments. A specialist in large-scale inference and agentic systems, Taylor bridges the gap between complex infrastructure and practical application development. She is a dedicated advocate for open-source ecosystems, leveraging projects such as vLLM, llm-d and MLflow to build sovereign, secure, and observable AI stacks. Her work is centered on empowering organizations to reclaim control over their AI lifecycle through transparent and scalable open-source solutions.
