About

Ashwath Narayan Murali is a highly skilled software engineer in the field of robotics and digital solutions. He holds a Master's degree in Computer Science from the Technical University of Munich and has accumulated 4.70 years of relevant experience in the industry. Ashwath's expertise lies in autonomous driving, robotics, and computer vision. He has worked on several successful projects in these areas, including Road Model Fusion for CEM ADAS, Object Level sensor fusion with Camera and RADAR, and developing autonomous driving software for OEMs. He has also implemented sensor-agnostic scalable solutions for environment perception and built scalable and efficient Road Model Fusion. Currently, Ashwath is working as a Software Engineer at Johnson & Johnson. Prior to this role, he worked as a Fusion & Perception Specialist at Continental, where he was responsible for leading the engineering team for Road Model Fusion for CEM ADAS. He also worked at Elektrobit (EB) as a Software Engineer, where he developed internal training on Robotics-ROS. Ashwath's education background includes a Bachelor's degree in I.C.T from Shanmugha Arts, Science, Technology and Research Academy and a Master's degree in Informatics from the Technical University of Munich. Ashwath's technical skills include Software Engineering, Computer Vision, and Senior Software Engineering. He is a highly motivated individual with a passion for technology and a proven track record of delivering successful projects.