Summary
Yikuan Xia is a software engineer specializing in perception systems with nine years of experience building production-quality C++, Python, and cloud-integrated tooling for autonomous systems. Currently at Hayden AI after driving mapping and visualization features at Nuro that cut map release time and improved operator workflows, he combines deep technical chops in SLAM, localization metrics, and OpenGL/Qt UIs with practical pipeline automation on Google Cloud. His internships at Amazon and research at UCSD show a pattern of shipping efficient data collection and simulation tooling—one project reduced memory usage by 80% while another expanded a 3D dataset to over 2,300 models. Based in California with graduate training in computer science and dual undergraduate degrees in computer engineering and math, he pairs strong academic foundations with hands-on system optimization. Unusually for a perception engineer, he’s equally engaged in music, gaming, and high-end computer peripherals, reflecting a detail-oriented mindset that surfaces in both his code and hobbies.
9 years of coding experience
2 years of employment as a software developer
University of California, San Diego