Summary
Jeremy Bundgaard is a Senior Lead Scientist and physicist turned data scientist with roughly a decade of experience delivering AI/ML, MLOps, and HPC-enabled solutions for defense and national-lab scale problems. He blends deep experimental physics expertise—developing detectors, neutron imaging systems, and time-projection-chamber instrumentation—with productionizing machine learning pipelines for space domain awareness, solar/space weather modeling, and sensemaking. Jeremy has led technical modernization and Kubeflow/Ray-based MLOps efforts at Lockheed Martin and now directs AI/ML teams at Booz Allen, applying rigorous uncertainty-aware analysis from his nuclear-structure and fission experiment work. Comfortable moving between lab hardware, complex data acquisition, and cloud-native model deployment, he brings a rare combination of hands-on instrumentation experience and operational ML leadership. Based in Golden, Colorado, he is particularly effective at turning noisy, physics-driven datasets into actionable models for high-consequence systems.
9 years of coding experience
5 years of employment as a software developer
PhD Physics, PhD Physics at Colorado School of Mines