Sooraj Ajith
Motion Planning & Vehicle Dynamics Engineer - Algorithm Developer @MOTOR Ai
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WORK HISTORY
Motion Planning & Vehicle Dynamics Engineer - Algorithm Developer @MOTOR Ai
Berlin, DE
Developed an engine model of the Mercedes vehicle using empirical data, enhancing autonomous vehicle’s controlperformance. Developed a method using OpenCV to create a free space estimator with reduced latency, integrated into the real time autonomous system and tested in various real world urban scenarios. Researched key monitoring factors for a safety critical system autonomous vehicles focusing on safety, performance, and reliability. Developed a comprehensive monitoring architecture, executed and tested it using various real world urban scenarios and simulations. Translated motion planning and control scripts from Python to C++ for reduced latency. Formulated and successfully executed autonomous urban scenario testing plans specifically for motion planning and control modules. Analyzed motion planning and control data to improve driving smoothness for client demonstrations Conducted comprehensive software hardware testing of Drive-By-Wire (DBW) systems and documented the process and results. Developed and executed a system for self-checking of actuators for the Drive-By-Wire (DBW) system, improving system reliability. Utilized Agile methodologies and project management techniques for efficient workflow.
EDUCATION
Salwan Public School
High School Diploma, pcm
SRM IST Chennai
Bachelor of Technology, Mechanical Engineering
HAN University of Applied Sciences
Master's degree, automotive systems
ABOUT SOORAJ AJITH
I am an Automotive Systems Engineer with a strong background in motion planning, vehicle dynamics, and model-based development. I have over 3 years of experience working in autonomous driving, where I develop and optimize motion planning and control algorithms for safety, comfort, and real-world performance. My work bridges engineering, data analysis, and system integration, with a track record of delivering scalable solutions in cross functional teams.
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