Summary
James Kapaldo is a Principal MLOps Engineer and applied physicist with 10 years of experience building scalable ML platforms and leading teams to deliver multi-hundred-million-dollar business impact. He has designed and productionized MLOps infrastructure in Azure, led central ML/AI organizations across retail and healthcare domains, and architected solutions from physics-based research prototypes to enterprise-grade, configuration-as-code platforms. His background in experimental optics and PhD-level research informs a data-driven, model-centric approach—he’s developed novel clustering algorithms and GPU-accelerated image analysis tools early in his career. At Walgreens and Lowe’s he translated complex ML models into measurable savings and revenue uplift, while at ServiceNow he now focuses on platform-level MLOps challenges. Colocating deep scientific curiosity with pragmatic engineering, James is comfortable moving between hands-on model development, cloud architecture, and leadership of cross-functional teams. Based in Chicago, he brings a rare blend of academic rigor and enterprise delivery experience that speeds ML from prototype to production.
10 years of coding experience
12 years of employment as a software developer
Self-Driving Car Engineer Nanodegree, Self-Driving Car Engineer Nanodegree at Udacity
B.S. Physics, B.S. Physics at Illinois Institute of Technology
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of Notre Dame