About

Jeshwanth Challagundla is a skilled Machine Learning Software Engineer currently working at Google, with a passion for applied Machine Learning and Deep Learning. With 5.78 years of relevant experience, he has worked for leading companies such as General Motors and Magna International in the past. As an Autonomous Driving Software Engineer at General Motors, Jeshwanth was responsible for developing and testing advanced driver assistance features such as lane keep assist and collision mitigation braking. At Magna International, he benchmarked in-house computer vision chips against Mobileye EyeQ3 and developed a closed-loop test system for front camera modules. Jeshwanth holds a Master of Science (M.S.) degree in Electrical Engineering from the University of Texas at Arlington and a Bachelor of Technology - BTech degree in Electrical and Electronics Engineering from Pondicherry University. He also completed the Self-Driving Car Engineer Nanodegree program from Udacity. Jeshwanth's technical expertise includes Software Engineering, Machine Learning, Deep Learning, Computer Vision, and test development. With his strong problem-solving skills and attention to detail, he is adept at developing innovative solutions to complex challenges. Jeshwanth is committed to continuous learning and enjoys staying up-to-date with the latest trends and technologies in the field. He is a valuable asset to any team and is always willing to share his knowledge and expertise to help others grow and succeed.