Summary
Noble Redmon is a physicist-turned-software engineer who brings a decade of hands-on experience at the intersection of computer vision, sensing, and manufacturing AI. Based in Mountain View, CA, he has built end-to-end systems—from data collection and sensor fusion to production-grade ML pipelines and vision-enabled quality assurance—across automotive, logistics, and manufacturing domains. He currently leads AI for Manufacturing at Stealth, developing novel tools to improve quality in production environments. Previously, as Head of R&D at Doxel.ai, he scaled a 4-engineer ML team, architected ETL for production data, and delivered models that cut production volume by 60% and slashed onboarding and latency in data pipelines. At Kibsi, he led computer vision solutions for automotive quality monitoring and for processing unstructured shipping labels with a vision-language approach. He holds an MS in Applied Physics from Stanford and a BS in Physics from UIUC, with earlier research spanning quantum imaging and laser control, reflecting a track record of turning rigorous science into practical, scalable engineering.
11 years of coding experience
7 years of employment as a software developer
Welding Technology/Welder, Welding Technology/Welder at John A Logan College
College Prep- School, Math, Science, and Technology based, College Prep- School, Math, Science, and Technology based at Illinois Mathematics and Science Academy
University of Illinois Urbana-Champaign
Rose-Hulman Institute of Technology
Master of Science (MS), Applied Physics, Master of Science (MS), Applied Physics at Stanford University
Spanish, German