Sooraj ajith

Sooraj Ajith began their work experience in 2017 as a Patent Engineer at IP Nation, where they analyzed and interpreted research conducted by various researchers. Sooraj provided suggestions to enhance the research for patent publication. In 2018, they worked as a Service Engineer at Auto Restoration. From 2019 to 2020, they worked as a Validation Engineer at Karel de Grote-Hogeschool, where they converted CAN data into valuable information and developed models for deducing steering angle and GPS coordinates. In 2020, they joined Università di Trento for their Master's Thesis, where they expanded on the university's work in motion planning and developed a fast and efficient algorithm for real-time racing vehicle applications. From 2021 to 2022, they worked as an Engineer at Formula Student Team Delft, where they were introduced to ROS2 based simulation and lap time simulations. Currently, in 2022, they are working as a Motion Planning Engineer at Motor AI.

Sooraj Ajith completed their education history with a Master's degree in Automotive Systems from Hogeschool van Arnhem en Nijmegen (HAN) from 2018 to 2021. Prior to that, they obtained a Bachelor of Technology in Mechanical Engineering from SRM University, which they attended from 2013 to 2017. Sooraj also holds a High School Diploma from Earthinators Climate School, although the specific years of attendance are not provided.