Summary
Josh Dirkx is a Machine Learning Operations Engineer and principal problem solver with 11 years of experience building cloud-native systems that bridge research and production. He blends software architecture, DevOps, and process automation to move ML models from prototype to reliable deployment, and has served both client-facing and internal engineering roles delivering end-to-end solutions. Comfortable learning new domains quickly, he’s repeatedly driven cross-functional initiatives that translate complex business needs into simple, impactful technical outcomes. Based in Seattle, he pairs a biology background with deep engineering experience—an unusual mix that informs pragmatic, systems-thinking solutions across data science and infrastructure.
10 years of coding experience
8 years of employment as a software developer
Biology/Biological Sciences, General, Biology/Biological Sciences, General at Virginia Tech