Joseph Berry is a Senior Machine Learning Engineer at Red Hat, where he focuses on AI infrastructure, machine learning systems, and performance benchmarking. He has nearly a decade of experience building production-scale ML and data platforms, with a focus on bridging the gap between research and reliable, scalable production systems.
Before joining Red Hat, Joseph worked as an ML Engineer across various sectors, including InsurTech, MediaTech, MobileTech, and Homeland Security. In these roles, he led MLOps and data engineering initiatives, built cloud-based ML infrastructure, and developed tools for deploying multimodal models at scale. Earlier in his career, he held various geoinformation positions across startups and established enterprises.
His technical interests span distributed computing, MLOps, cloud platforms, geoinformation systems, and open-source technologies, with an emphasis on making AI systems more efficient, reproducible, and accessible in production environments.
