Carter Bian
About Carter Bian
Carter Bian is an incoming software engineer intern currently working at Nuro. He has a background in linguistics and computer science from UCLA and has held various research and internship positions in machine learning and software engineering.
Work at Nuro
Carter Bian is currently engaged as an Incoming Software Engineer Intern at Nuro, a position he has held since 2021. Nuro specializes in autonomous delivery vehicles, focusing on transforming local commerce through innovative technology. In this role, Bian contributes to software development efforts aimed at enhancing the functionality and efficiency of Nuro's delivery systems. His experience in software engineering and machine learning supports the company's mission to create safe and efficient autonomous solutions.
Education and Expertise
Carter Bian is pursuing a Bachelor's degree in Linguistics and Computer Science at the University of California, Los Angeles (UCLA), with an expected graduation in 2024. His educational background includes a strong foundation in both linguistic theory and computational methods, equipping him with a unique skill set applicable to software engineering. Prior to UCLA, he completed his high school education at Cupertino High School from 2016 to 2020.
Background
Bian has a diverse background in research and software engineering. He worked as a Machine Learning Research Assistant at PARISlab at UCLA from 2020 to 2021, where he focused on the physics of amorphous and inorganic solids. Additionally, he served as a Materials Science Research Assistant at Stony Brook University in 2019. His experience also includes a brief tenure as a Nexus Fellow at The D. E. Shaw Group and as a Software Engineer Intern at Mutual of Omaha in 2021.
Previous Experience
Carter Bian has accumulated significant experience in various roles prior to his current internship at Nuro. He worked as an Undergraduate Learning Assistant in the UCLA Computer Science department for three months in 2020. His internships at Mutual of Omaha and The D. E. Shaw Group provided him with practical exposure to software engineering and industry practices. His research roles at PARISlab and Stony Brook University contributed to his understanding of machine learning and materials science.