About

Nobie Redmon is an accomplished physicist turned software engineer with a keen interest in machine learning enabled technologies. As the Head of R&D at Doxel.ai, he is responsible for driving innovation and leading the development of cutting-edge software solutions. With over 7 years of relevant experience in the industry, Nobie has worked with some of the biggest names in tech, including Google and DeepScale. At DeepScale, he served as an Engineer, where he was responsible for developing, maintaining, and extending the company's data collection framework. He also designed the company's 2nd generation data collection vehicle, spec'd sensors, compute, networking, and storage, and integrated various cameras, radars, and lidars into DeepScale's data collection framework. Nobie also managed a small team of data collection drivers and technicians. At Google, Nobie worked in the Trust and Safety division, where he scaled abuse fighting efforts. Nobie's educational background is impressive, having earned a Master of Science degree in Applied Physics from Stanford University, a Bachelor of Science degree in Physics from the University of Illinois, and a College Prep-School, Math, Science, and Technology-based degree from the Illinois Mathematics and Science Academy. He also holds a Welding Technology/Welder degree from John A Logan College and has studied at Rose-Hulman Institute of Technology. Nobie's tech stack includes software engineering, AI, and ML, and he is passionate about leveraging these technologies to solve complex problems. He is a highly motivated and results-driven professional who is committed to delivering exceptional results.