Kodi Yari is a Senior AI Engineer based in Chicago with nine years building production-grade ML and Generative AI systems focused on explainability, security, and enterprise readiness. He has progressed from academic research in microdevices and nonlinear optics to industry roles deploying TensorFlow models on Google Cloud and architecting LLM solutions across healthcare and corporate settings. Kodi combines rigorous statistical inference and algorithm expertise with hands-on MLOps experience, ensuring models are auditable and scalable for regulated environments. His PhD-level background and early research successes reflect a propensity for tackling hard, physics-informed problems and translating them into robust engineering outcomes. Currently driving AI initiatives at MasterBrand after recent senior roles at BroadPoint and Mercy, he’s known for bridging research depth with pragmatic deployment. An unusual strength is his track record of improving experimental device reliability by orders of magnitude, showing a blend of systems thinking and meticulous experimentation.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mechanical Engineering, 3.9/4, Doctor of Philosophy (Ph.D.), Mechanical Engineering, 3.9/4 at University of South Florida
Contributions:9 pushes, 1 branch in 3 years 3 months
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