Mitesh Agrawal
About Mitesh Agrawal
Mitesh Agrawal is a Software Engineer with extensive experience in robotics and control systems. He has worked for various organizations, including Motional and May Mobility, and holds a Master's degree in Mechatronics, Robotics, and Automation Engineering from Worcester Polytechnic Institute.
Current Role at Motional
Mitesh Agrawal is currently employed as a Software Engineer at Motional, where he has been working since 2022. In this role, he focuses on developing software solutions for autonomous vehicles, leveraging his expertise in motion planning and robotics.
Previous Experience in Software Engineering
Prior to his current position, Mitesh Agrawal held various roles in software engineering and robotics. He worked at Ample Inc as a Controls Software Engineer for six months in 2020. He also served as a Software Engineer at Accenture from 2016 to 2018, where he gained significant experience in software development.
Educational Background
Mitesh Agrawal earned a Master's degree in Mechatronics, Robotics, and Automation Engineering from Worcester Polytechnic Institute, studying from 2018 to 2020. He also holds a Bachelor of Engineering (B.E.) in Mechanical Engineering from Shri Ramdeobaba College of Engineering and Management, completed in 2016.
Research and Internships
Throughout his academic career, Mitesh Agrawal engaged in various research and internship roles. He worked as a Graduate Student Researcher and Graduate Research Assistant at Worcester Polytechnic Institute, focusing on control systems and robotics. His internships include positions at Hitachi Automotive Systems Americas, Inc. and Hi Tech Resistor Pvt Ltd, where he gained practical experience in automotive systems and project development.
Technical Skills and Expertise
Mitesh Agrawal possesses a strong technical skill set in programming languages and frameworks such as C++, Python, TensorFlow, Keras, PyTorch, ROS, and MATLAB. His expertise includes advanced robot navigation techniques like SLAM, motion planning algorithms, and learning-based methods, which are critical for developing autonomous systems.