Summary
Chris Donlan is an Applied AI Architect with nearly two decades of experience building cloud-native, data-driven systems and advising ISVs on secure, modern architectures. He combines hands-on machine learning and data engineering expertise with technical leadership gained across Microsoft and Anthropic, helping retail and enterprise partners translate AI strategy into production value. At Microsoft he guided cloud modernization and retail solutions for partners, and now focuses on partner enablement and GTM technical strategy for Claude at Anthropic. Chris holds an MS in Data Science and a BS in Computer Science, pairing formal analytics training with deep operational experience in Azure, M365, and enterprise application lifecycles. He’s equally comfortable in hands-on engineering and cross-functional enablement, often translating complex ML and cloud patterns into pragmatic partner playbooks. Based in Panama City, Florida, he brings a practical, customer-focused approach to unlocking AI for large-scale commercial deployments.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Florida State University
Masters of Science(MS), Data Science, Masters of Science(MS), Data Science at Southern Methodist University
English