Milo Webster

Milo Webster is an accomplished Machine Learning Engineer at Gridmatic since January 2021, with prior experience as a Signal Processing Software Engineer at Boeing, where responsibilities included developing a 3rd-party radio decoder integration and optimizing C++ software for signal processing tasks. Milo was a founding member and Software Subteam Lead of the Formula SAE Electric Team at the University of California, Santa Cruz, contributing to various electrical systems and project management. As a tutor in Mechatronic Design and Microprocessor System Design, Milo supported students on projects involving autonomous robotics and digital oscilloscope design. Earlier roles include software development at BikeTrak, internships at Down For Whatever and OpenSesame, and operating a web development business. Milo obtained a Master of Engineering in Electrical Engineering and Computer Science from UC Berkeley and a Bachelor of Science in Computer Engineering from UC Santa Cruz, focusing on Robotics and Control.