Mitchell Spryn

Mitchell Spryn is a skilled Research Engineer at Helm.ai, focusing on the development of deep learning models for path planning and intent prediction in autonomous vehicles. Prior experience includes serving as a Principal Software Engineer at Motional, where Mitchell developed deep-learning based motion planning algorithms and contributed to the open-source NuPlan framework, along with optimizing large-scale machine learning infrastructures. Additional roles encompass positions at Meta and Facebook, specializing in deep learning for video and image technologies and building user intent systems. Earlier work at Microsoft involved enhancing cloud capabilities for autonomous driving and collaborating on open-source projects. Mitchell holds dual Bachelor of Science degrees in Electrical Engineering and Physics from The University of Alabama.