About

Nagarjuna Vemuri is a highly skilled Software Architect at Aptiv with a strong background in Robotics and Artificial Intelligence. He has a keen interest in the development of Autonomous Technologies, Robotic Vision, and Perception. His expertise lies in C++, Python, ROS, Gazebo, OpenCV, Tensorflow, Pytorch, Numpy, Pandas, and Scikit-learn. Nagarjuna has over 4.77 years of relevant experience in the industry. He has previously worked as a Software Engineer at RFA Engineering and a Specialist Programmer at Infosys. At Infosys, he was an integral part of the team that developed a Self-driving Golf cart that navigates autonomously inside Infosys Mysore Campus. He developed the perception module for the autonomous cart enabling its vision capabilities. He also developed Deep Learning Models that enabled perception for autonomous vehicles by detecting different road objects, sensing traffic lights, and recognizing different traffic signs. Nagarjuna also designed and developed a web-based application using ReactJS, Redux, and Agile methodologies. He was the winner of Infosys STG hackathon for developing smart Retail AI solutions. Currently, Nagarjuna is working as a Software Architect at Aptiv. He is responsible for optimizing the object tracking and sensor fusion algorithms of Radar-based perception modules on embedded targets. His role involves developing and implementing strategies to enhance the perception capabilities of autonomous vehicles. Nagarjuna holds a Master's degree in Robotics and Artificial Intelligence from Arizona State University and a Bachelor's degree in Mechanical Engineering from Sreenidhi Institute of Science and Technology. His technical skills, coupled with his passion for Robotics and Artificial Intelligence, make him a valuable asset to any organization.