About

Jingde Chen is a highly skilled Deep Learning Software Research Intern for Autonomous Vehicles at NVIDIA with a passion for the field of computer engineering. He is currently pursuing his Master of Science in Computer Engineering at Carnegie Mellon University, where he also serves as a Graduate Teaching Assistant for the Introduction to Computer Systems course in Fall 2021. Jingde has a Bachelor of Science in Computer Engineering from the University of Illinois, where he also earned a minor in Informatics. He completed his high school education at Guangzhou Zhixin High School. Jingde has gained valuable experience through his past roles as a Graduate Teaching Assistant at Carnegie Mellon University, where he taught Advanced Cloud Computing, and as a Deep Learning Software Research Intern for Autonomous Vehicles at NVIDIA. He has a strong background in Deep Learning and has worked as a Research Scientist. Jingde is highly skilled in his field and has a deep understanding of the latest technologies and trends in the industry. He has a strong interest in the development of autonomous vehicles and is committed to making a significant contribution to this field. With 0.35 years of relevant experience, Jingde is a dedicated and hardworking individual who is committed to achieving his goals. He is a quick learner, an excellent communicator, and is always willing to take on new challenges. Jingde is a valuable asset to any team and is sure to make a positive impact in any organization he works for.