Addison Klinke is a Senior MLOps Engineer based in Denver with eight years of machine learning experience focused on operationalizing models for cloud and edge deployments. He combines a mechanical engineering academic background (BS summa cum laude, MS with 3.89 GPA) with hands-on MLOps practice, emphasizing elegant, well-documented code and reproducible pipelines. His career spans startups and scale-stage companies—shipping production ML at Rekor, BallerTV, and Nextdoor—where he moved from practitioner roles into senior engineering with a focus on reliability and deployment ergonomics. Addison is comfortable bridging research and production, applying deep learning knowledge from formal coursework and Coursera specialization to practical systems engineering. Colleagues know him for making complex model workflows auditable and maintainable, and for pushing reproducibility best practices across teams. He brings both analytical rigor from engineering training and pragmatic product-minded execution to ML infrastructure challenges.
7 years of coding experience
9 years of employment as a software developer
Deep Learning Specialization, Deep Learning Specialization at Coursera
MS, Mechanical Engineering, 3.89, MS, Mechanical Engineering, 3.89 at Case Western Reserve University
Contributions:2 releases, 156 commits, 134 pushes in 3 years
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Addison Klinke - Senior MLOps Engineer at Nextdoor