Matthew Tang

Matthew Tang is a skilled software engineer with a robust background in full stack development and research in artificial intelligence and human-robot interaction. Experience includes roles at prestigious institutions such as Google, where Matthew has contributed to data scientist tools and improved retail model quality, and Amazon, where Matthew developed an application that significantly reduced model validation time. Previous research endeavors include designing wearable biomedical devices at UC Irvine and developing algorithms for autonomous vehicle navigation at MIT. Matthew holds a Bachelor of Science in Electrical Engineering and Computer Science from the University of California, Berkeley, with a notable GPA of 3.95, and has served as a leader and educator in various roles, including a section leader for an introductory programming course at Stanford University.