Akhil Sharma
About Akhil Sharma
Akhil Sharma is a Control Engineer with expertise in implementing Machine Learning techniques in powertrain controls. He specializes in Model Based Development and Multi Body Dynamics within the automotive sector and currently works at Flux Auto in Bengaluru, India.
Work at Flux Auto
Akhil Sharma has been employed at Flux Auto as a Control Engineer since 2020. In this role, he focuses on the implementation of machine learning techniques in powertrain controls. His work contributes to the development of advanced automotive systems, particularly in the areas of E-power-train and Advanced Driver Assistance Systems (ADAS). With four years of experience at Flux Auto, he plays a key role in enhancing vehicle performance and safety through innovative control strategies.
Previous Experience in Automotive Engineering
Prior to his current position, Akhil Sharma worked at KPIT as a Software Engineer for ten months in Bengaluru, India, from 2019 to 2020. His responsibilities included software development related to automotive systems. Earlier in his career, he interned at Honda Cars India Ltd in 2015 for one month, gaining initial exposure to the automotive industry. These experiences helped him build a solid foundation in automotive engineering and control systems.
Education and Expertise
Akhil Sharma holds a Bachelor of Technology in Mechanical Engineering from Raj Kumar Goel Institute of Technology, which he completed from 2012 to 2016. He further advanced his education by obtaining a Master's degree in Automotive Engineering from Vellore Institute of Technology between 2017 and 2019. His academic background equips him with a strong understanding of model-based development and multi-body dynamics, essential for his work in the automotive sector.
Specialization in Control Systems
Akhil Sharma specializes in control systems within the automotive industry. He has in-depth knowledge and experience in the controls of E-power-train and ADAS systems. His expertise extends to the application of reinforcement learning techniques in automotive systems, enhancing the performance and efficiency of vehicle controls. His skill set is crucial for developing advanced technologies in modern vehicles.