Rahul Rajampeta
About Rahul Rajampeta
Rahul Rajampeta is a Technical Specialist with extensive experience in automotive engineering and technical leadership. He has worked at various organizations, including Navistar Inc and Clemson University, and holds a Bachelor's degree from the Indian Institute of Technology, Dhanbad, and a Master's degree from Clemson University.
Work at Navistar
Rahul Rajampeta currently serves as a Technical Specialist at Navistar Inc, a position he has held since 2021. In this role, he utilizes his expertise in control algorithm design and implementation for automotive systems. Prior to his current position, he worked as a Senior Product Development Engineer at Navistar from 2010 to 2016, where he contributed to various projects in the Greater Chicago Area. His experience at Navistar highlights his commitment to advancing automotive technology.
Education and Expertise
Rahul Rajampeta holds a Bachelor of Technology (B.Tech.) in Mechanical Engineering from the Indian Institute of Technology, Dhanbad, which he completed from 2004 to 2008. He furthered his education by obtaining a Master's degree in Automotive Engineering Technology from Clemson University, studying there from 2008 to 2010. Additionally, he has completed a course in Machine Learning through Coursera. His educational background supports his strong skills in mathematical modeling and simulation related to automotive control systems.
Background
Rahul Rajampeta began his career with an internship at the Defence Research and Development Organisation in 2007, where he gained initial experience in the field. He then completed a research internship at Clemson University from 2009 to 2010. After his time at Clemson, he joined Navistar Inc as a Senior Product Development Engineer, where he worked for six years before transitioning to a Project Manager role at Tech Mahindra from 2016 to 2021. His diverse background in both research and industry positions has equipped him with a broad range of skills.
Technical Skills
Rahul Rajampeta possesses strong programming skills in modular and object-oriented programming languages, including Matlab, Python, Java, and Linux. His technical expertise extends to mathematical modeling and simulation for automotive control systems, as well as control algorithm design and implementation. He also holds an Apprentice Certification in Statistical Engineering Analysis, further demonstrating his analytical capabilities in engineering.