Sherif Nekkah
About Sherif Nekkah
Sherif Nekkah is an intern specializing in machine learning, currently working at Motional in Singapore. He has a background in robotics and mechatronics, with experience in various internships and roles related to autonomous systems and machine learning applications.
Work at Motional
Sherif Nekkah currently works at Motional as an Intern in Machine Learning, a position he has held since 2022. His role involves contributing to the development of autonomous systems, focusing on enhancing machine learning algorithms for autonomous vehicles. This internship is based in Singapore and reflects his ongoing commitment to advancing technology in the field of robotics.
Education and Expertise
Sherif Nekkah holds a Master of Science in Robotics, Cognition, and Intelligence from Technische Universität München, where he studied from 2020 to 2022. Prior to this, he earned a Bachelor of Science in Mechatronics and Information Technology from Karlsruher Institut für Technologie (KIT), completing his studies in 2020. His educational background equips him with a solid foundation in robotics and machine learning applications.
Background
Sherif Nekkah has a diverse background in engineering and technology. He began his career at KA-RaceIng e.V., where he held various roles including Team Lead, Software Engineer, and Design Engineer from 2017 to 2020. He also gained experience as an Intern in Mechatronics at Kinemic GmbH in 2020 and as a Machine Learning Intern at Cruise in 2021. Additionally, he worked as a Research Assistant at FTM Institute of Automotive Technology TUM for a brief period in 2021.
Achievements
During his time at KA-RaceIng e.V., Sherif Nekkah contributed to multiple projects that focused on the development of autonomous systems and machine learning algorithms for autonomous vehicles. His involvement in these projects reflects his strong interest in applying machine learning within the field of robotics, showcasing his commitment to advancing technology.