Summary
Nathan Sherburne is a senior software engineer with nine years of experience building production systems across fast-moving startups and large tech firms, currently focused on applied engineering at Pano AI after a multi-year tenure at Rivian. He brings a strong backend and systems orientation shaped by roles at Amazon and product-driven teams, with an ability to move from model-informed prototypes to scalable services. A San Diego State Computer Science graduate, Nathan blends academic rigor from early infectious disease modeling work with hands-on product engineering for electric vehicles and autonomous data platforms. Based in North Bend, WA, he favors pragmatic solutions that balance reliability and rapid iteration, and has a track record of stepping into new domains and shipping impactful features quickly. Notably, his career path shows a pattern of translating research and data-driven insights into production software used in real-world mobility and sensing applications.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at San Diego State University