Aditya Shinde
About Aditya Shinde
Aditya Shinde is a Systems Design Engineer with a background in process continuous improvement and systems engineering. He has worked for notable companies such as ZF Group and currently Torc Robotics, and has experience in academic roles at the University of Maryland.
Work at Torc Robotics
Aditya Shinde has been employed at Torc Robotics as a Systems Design Engineer since 2021. In this role, he focuses on advanced systems design, contributing to the development of innovative solutions in the robotics sector. His work involves applying engineering principles to enhance system performance and reliability.
Previous Experience at ZF Group
Prior to his current position, Aditya Shinde worked at ZF Group as a Systems Engineer from 2018 to 2021. During his three years in the Greater Detroit Area, he was involved in various engineering projects, applying his expertise in systems design and continuous improvement methodologies.
Education and Expertise
Aditya Shinde holds a Master’s Degree in Systems Engineering from the University of Maryland College Park, where he studied from 2016 to 2018. He also earned a Bachelor’s Degree in Mechanical Engineering from SRM University, completing his studies from 2012 to 2016. His academic background supports his specialization in Process Continuous Improvement and Process Modeling and Simulation.
Teaching and Tutoring Experience
Aditya Shinde has experience in academia, having served as a Teaching Assistant and Grader at the University of Maryland's A. James Clark School of Engineering for four months in 2018. Additionally, he worked as an Academic Tutor for Mathematics and Physics at the same university from 2017 to 2018, providing support to students in these subjects.
Internship Experience
Earlier in his career, Aditya Shinde completed several internships, including a Research Intern position at Mahindra Group in 2014 and a Vehicle Maintenance Engineer Intern role at Maruti Suzuki India Limited in 2013. These experiences contributed to his practical knowledge in engineering and systems design.