Arpit Jangid
About Arpit Jangid
Arpit Jangid is a Senior Machine Learning Engineer with extensive experience in the field, having worked at notable companies such as Motional and Tesla. He holds a dual degree in Electrical Engineering from the Indian Institute of Technology, Kanpur, and a Master of Science in Computer Vision from Carnegie Mellon University.
Current Role at Motional
Arpit Jangid currently serves as a Senior Machine Learning Engineer at Motional, a position he has held since 2023. In this role, he focuses on developing advanced machine learning algorithms to enhance autonomous vehicle technology. His work involves collaborating with cross-functional teams to implement innovative solutions that improve the safety and efficiency of self-driving systems.
Previous Experience at Motional
Before his current position, Arpit worked at Motional as a Machine Learning Research Engineer from 2021 to 2023. During this time, he contributed to various projects aimed at advancing machine learning applications within the autonomous vehicle sector. His experience at Motional has equipped him with a deep understanding of the challenges and opportunities in the field of self-driving technology.
Experience at Tesla
In 2020, Arpit Jangid interned at Tesla as an Autopilot Intern for three months. This role provided him with hands-on experience in the development of autopilot features, allowing him to apply his academic knowledge in a practical setting. His internship at Tesla contributed to his expertise in machine learning and autonomous systems.
Career at Samsung R&D Institute India
Arpit worked at Samsung R&D Institute India - Bangalore Private Limited in various roles. He served as a Senior Software Engineer from 2016 to 2018, where he was involved in software development projects. He then advanced to the position of Lead Engineer in 2018, holding that role for one year. His tenure at Samsung provided him with valuable experience in software engineering and team leadership.
Educational Background
Arpit Jangid holds a Dual Degree (B.Tech - M.Tech) in Electrical Engineering from the Indian Institute of Technology, Kanpur, which he completed from 2011 to 2016. He furthered his education by obtaining a Master of Science in Computer Vision from Carnegie Mellon University in 2020. His academic background has laid a strong foundation for his career in machine learning and computer vision.