Kaushik Chandrashekar is a dynamic Tools Development Engineer and Product Owner at Aptiv, where he plays a pivotal role in revolutionizing vehicle data analysis and logging technologies. With a strong focus on advancing autonomous driving capabilities, Kaushik leads the design and development of cost-effective Hardware-in-the-Loop...
Kaushik Chandrashekar is a dynamic Tools Development Engineer and Product Owner at Aptiv, where he plays a pivotal role in revolutionizing vehicle data analysis and logging technologies. With a strong focus on advancing autonomous driving capabilities, Kaushik leads the design and development of cost-effective Hardware-in-the-Loop (HIL) data playback systems. His expertise in Controller Area Network (CAN) protocols and Feature-Driven Development enables him to create robust solutions that enhance the efficiency and reliability of vehicle systems.
In his current role, Kaushik is responsible for developing comprehensive strategies and system requirements that drive the creation of innovative tools for vehicle data analysis and logging. He meticulously crafts software requirements and qualification test requirements, ensuring that every solution meets stringent industry standards. His technical acumen extends to simulations and embedded systems, where he leverages programming languages such as C and VHDL to develop high-performance computing cluster (HPCC) solutions for large-scale open-loop HIL playback systems.
Kaushik's approach is characterized by a blend of practicality and innovation, as he continuously seeks to optimize the performance of HIL systems through rigorous testing and validation. His proficiency in tools like MATLAB and the Robot Operating System (ROS) further enhances his ability to deliver cutting-edge solutions that address the complexities of modern automotive technologies. As he navigates the evolving landscape of autonomous driving, Kaushik remains committed to pushing the boundaries of vehicle data analysis, ensuring that Aptiv remains at the forefront of automotive innovation.
