About

Chen Liu is a highly skilled Deep Learning Engineer currently working at Matroid, Inc. With over 5 years of relevant experience in the field, Chen has a proven track record of delivering exceptional results in complex projects involving deep learning models. Currently, Chen is working as a Research Assistant at the Georgia Institute of Technology, where he is developing a one-stage deep learning model inspired by the Single Shot Multibox Detector. The model is designed to perform end-to-end vehicle detection and tracking simultaneously with LiDAR data at Hays Lab. Chen's work in this project has been instrumental in advancing the field of autonomous vehicles. Prior to his current role, Chen worked as a Software Engineer at Snapchat, where he was responsible for developing creative tools such as Scissors and Stickers. He also improved the Snapcode scanning algorithm on Spectacles 1, which resulted in an 8x faster pairing time. Chen's educational background includes a Master of Science in Computer Science from the Georgia Institute of Technology and a Bachelor of Science in Computer Science from Carnegie Mellon University. Throughout his academic career, Chen has demonstrated exceptional skills in deep learning, research, and software engineering. Chen's technical skill set includes expertise in Research Science, Deep Learning, Software Engineering, Backend, and Android. He is a highly motivated individual who is passionate about exploring new technologies and finding innovative solutions to complex problems. With his exceptional skills and experience, Chen is a valuable asset to any organization.