About

Jou-ching (George) Sung is a highly skilled Machine Learning Engineer with over 13 years of experience in the field. Currently, he is working at Amazon Music, where he is applying his expertise in machine learning to improve the user experience. In his role, he is responsible for designing and implementing machine learning algorithms that help Amazon Music personalize recommendations for its users. Prior to joining Amazon, Jou-ching worked at BMW of North America, LLC, where he developed machine learning algorithms for autonomous driving. Here, he was involved in developing reinforcement learning and imitation learning algorithms for autonomous driving policies. He also worked on deep learning-based path generation algorithms that were designed to mimic human driving behavior. He was responsible for running these algorithms in simulation and prototype test vehicles. Jou-ching has also worked as a mentor for Udacity's Self-Driving Car Engineer Nanodegree program. In this role, he mentored 15 students and helped them understand deep learning and computer vision concepts. He was also responsible for driving student engagement and ensuring that they had a solid grasp of the material. Jou-ching holds a Self-Driving Car Engineer Nanodegree and a Machine Learning Engineer Nanodegree, both from Udacity. He is highly skilled in a range of technologies, including ML, Reinforcement Learning, Deep Learning, Computer Vision, and more. His expertise in these areas has made him a valuable asset to any organization that he works for. Overall, Jou-ching is a talented Machine Learning Engineer with a proven track record of success. His experience in developing machine learning algorithms for autonomous driving and music recommendation systems makes him a valuable addition to any team.