Ryan T.
About Ryan T.
Ryan T. is a Digital Signal Processing Engineer at Nuro, where he has worked since 2021. He has a background in electrical engineering and a strong interest in applying mathematics to engineering challenges.
Work at Nuro
Ryan T. currently serves as a Digital Signal Processing Engineer at Nuro, a position he has held since 2021. His work focuses on radar digital signal processing, particularly in the context of self-driving cars. Prior to his current role, he worked as a Radar Intern at Nuro from 2020 to 2021, where he contributed to projects related to radar technology and its applications in autonomous vehicles.
Education and Expertise
Ryan T. studied Electrical, Electronics, and Communications Engineering at the University of Maryland, where he earned a Bachelor of Science degree from 2019 to 2023. His academic background is complemented by a strong interest in applying pure mathematics to engineering challenges, especially in areas such as control theory, machine learning, and digital signal processing.
Background
Ryan T. has a diverse background in engineering and technology. He attended Montgomery Blair High School from 2016 to 2019, where he developed foundational skills in science and mathematics. He also founded a high school team, blair3sat, which focused on developing a CubeSat for ionospheric measurements, showcasing his early commitment to engineering and innovation.
Internship Experience
Ryan T. has gained valuable experience through various internships. He interned at the U.S. Naval Research Laboratory in both 2017 and 2018 for two months each, where he was involved in research projects in the Washington D.C. Metro Area. Additionally, he interned at Intelligent Automation, Inc. in 2019 for two months, further enhancing his practical skills in engineering.