Melinda Kothbauer
About Melinda Kothbauer
Melinda Kothbauer is a Robotics Engineer with extensive experience in developing algorithms for driving metrics and conducting research on fuel economy calculations. She has worked at May Mobility since 2018 and has held various internships in the field of autonomous vehicles and software development.
Work at May Mobility
Melinda Kothbauer has been employed at May Mobility as a Robotics Engineer since 2018. In this role, she focuses on developing and implementing robotics solutions for autonomous vehicles. Her work contributes to the advancement of mobility technology in Ann Arbor, MI, where the company is headquartered. Kothbauer's expertise in robotics plays a crucial role in the company's mission to improve transportation through innovative solutions.
Education and Expertise
Melinda Kothbauer earned her Bachelor’s Degree in Computer Engineering from the University of Michigan, completing her studies from 2014 to 2018. This educational background provided her with a solid foundation in engineering principles, programming, and systems design. Her academic training is complemented by her practical experience in robotics and software development, making her well-equipped for her role in the autonomous vehicle sector.
Background
Before joining May Mobility, Kothbauer gained valuable experience through various internships. She worked as a TechLab @ Mcity Intern at Zendrive for seven months in 2017, where she contributed to research projects focused on driving metrics. Additionally, she served as an Advanced Engineering Intern at Hyundai MOBIS in the Autonomous Vehicle R&D department for three months in 2017. Her early career included a year-long internship at Deque Systems, Inc, where she developed software solutions.
Research and Development Contributions
Kothbauer has conducted research on fuel economy calculations utilizing large driving datasets. She developed algorithms for driving metric calculations using R code, showcasing her analytical skills and technical proficiency. Her work on these projects reflects her commitment to enhancing the efficiency and performance of autonomous driving technologies.