Pete is a Senior AI Specialist Solutions Architect at Red Hat, where he works with enterprise organizations to design and build scalable AI solutions across the Red Hat AI portfolio. His work spans generative and predictive AI, helping customers translate complex requirements into production-ready systems that deliver meaningful business outcomes.
With more than ten years of experience in AI, machine learning, and data science, Pete has led cross-functional teams, architected large-scale data and AI platforms, and guided projects from early experimentation through production. His background includes deep experience in AI/ML, applied statistics and data science, Kubernetes-native AI platforms, distributed model serving, GPU-accelerated computing, and large-scale geospatial and data systems.
Pete holds an MS in Systems Ecology from the University of Montana and is particularly interested in how emerging AI technologies can be applied to solve complex, real-world problems.
