David Gray is a Senior Software Engineer at Red Hat on the Performance and Scale for AI Platforms team. His role involves analyzing and improving AI model inference performance on Red Hat OpenShift and Kubernetes. David is actively engaged in performance experimentation and analysis of running large language models in hybrid cloud environments. His previous work includes the development of Kubernetes operators for kernel tuning and specialized hardware driver enablement on immutable operating systems.
David has presented at conferences such as NVIDIA GTC, OpenShift Commons Gathering and SuperComputing conferences. His professional interests include AI/ML, data science, performance engineering, algorithms and scientific computing.
