Ryan Culligan is a data science leader with 11 years of cross-disciplinary experience building scalable ML platforms and production microservices, currently serving as Director of Data Science at C.H. Robinson. He progressed through technical and managerial roles there—ranging from full-stack and platform engineering to leading data science teams—bringing hands-on expertise in FastAPI, Azure DevOps, Helm and a wide array of deployment and data tooling. His background in environmental research and bioinformatics informs a pragmatic approach to modeling, orchestration, and reproducible pipelines, and he has co-authored peer-reviewed papers on primate vision and lemur genetics. Comfortable bridging research and operations, he excels at turning late-prototype models into robust microservices that deliver business impact in logistics. He is driven by opportunities that combine data-driven product engineering with environmental and societal benefits.
11 years of coding experience
13 years of employment as a software developer
Bachelor's degree Biology/Biological Sciences Environmental Studies, Bachelor's degree Biology/Biological Sciences Environmental Studies at Denison University
High School High School Certificate of Competence Program, High School High School Certificate of Competence Program at Saint John's Preparatory School
Contributions:5 PRs, 91 pushes, 4 branches in 2 years
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