Brian Gallagher leads the Data Registry team at Red Hat, helping shape the data strategy for Red Hat OpenShift AI (RHOAI). His work focuses on making data a first-class part of the platform through discovery, metadata, governed access, lineage, and integrations across AI and agentic workflows.
Follow this 4-step process using Training Hub and OpenShift AI to transition LLM fine-tuning from local experiments to repeatable, production-grade workflows.
Learn how to fine-tune AI pipelines in Red Hat OpenShift AI 3.3. Use Kubeflow Trainer and modular components for reproducible, production-grade model tuning.
