Junwei Yang

Junwei Yang is a highly skilled tech lead and software engineer with 3 years of experience in server architectures and web applications. He possesses extensive research expertise in machine learning, deep learning, robotics, and computer vision. Junwei holds dual master degrees in computer science and math from Stanford University, where he also worked as a Research Assistant in the Vision and Learning Group. Previously, he served as a Teaching Assistant for various computer science courses at Stanford, including Cs276 and Cs246. Junwei has also been a Cofounder and Chief Technology Officer at Beijing Nagu Technology.

In terms of education, Junwei Yang studied Bachelor Of Engineering in Environmental Engineering at Nottingham University Business School before pursuing his Master of Science in Mathematics, Computer Science, and Data Science at Stanford University. His professional journey includes roles as a Software Engineer Intern at Snap Inc., a Software Development Engineer Intern at Amazon, and a Research Assistant at the University of Nottingham.

Junwei Yang's diverse skill set and academic background reflect a passion for technology, innovation, and interdisciplinary learning. With a strong foundation in computer science and mathematics, coupled with practical experiences at reputable organizations, Junwei stands out as a valuable asset in the tech industry.