Summary
Bernard Uwineza is a software engineer and researcher with eight years of experience specializing in robust estimation and high-precision navigation for mobile and autonomy applications. He holds a PhD in Electrical and Computer Engineering from UC Riverside and an MS in Applied Mathematics, blending theoretical rigor with practical deployment in robotics and computer vision. Bernard has transitioned from graduate research and postdoctoral work advising EcoCAR autonomy teams to industry roles at Google, where he applies ML to optimize AI hardware accelerators and previously worked on real-time location solutions for billions of devices. His background spans controls, deep learning for vision, and production-focused positioning systems, giving him a rare combination of algorithmic depth and systems engineering. Based in Riverside, CA, he is comfortable moving research into scalable products and often operates at the intersection of navigation theory and machine learning-driven hardware efficiency.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of California, Riverside
Bachelors of Science, Electrical and Computer Engineering, Bachelors of Science, Electrical and Computer Engineering at California Baptist University
French