Azar Fazel
About Azar Fazel
Azar Fazel is a Senior Autonomy Engineer at Glydways, where he has worked since 2023. He has a background in computer vision and machine learning, with previous roles at NIO and Stanford University.
Work at Glydways
Azar Fazel has been employed at Glydways as a Senior Autonomy Engineer since 2023. In this role, he focuses on developing and implementing advanced autonomy systems. His work contributes to the company's mission of enhancing transportation solutions through innovative technologies.
Previous Experience at NIO
Before joining Glydways, Azar Fazel worked at NIO as a Senior Computer Vision Engineer from 2017 to 2020. Based in the San Francisco Bay Area, he specialized in computer vision technologies, contributing to the development of autonomous vehicle systems.
Education and Expertise
Azar Fazel holds a Master's degree in Electrical and Electronics Engineering from Stanford University. He also earned a Bachelor's degree in Computer Engineering from Isfahan University of Technology. His educational background provides a strong foundation in engineering principles and machine learning applications.
Experience at Stanford University
Azar Fazel has significant experience at Stanford University. He served as a Graduate Student Research Assistant from 2014 to 2016, where he engaged in research projects. Additionally, he worked as a Machine Learning Engineer at the Stanford University School of Medicine from 2016 to 2017, focusing on applying machine learning techniques in medical research.
Role at Amazon
From 2020 to 2023, Azar Fazel worked at Amazon as a Software Engineer. In this position, he developed software solutions and contributed to various projects, enhancing his technical skills and experience in the technology sector.