Kun Yang

Kun Yang possesses a strong background in electrical and electronics engineering, with a PhD and an impressive academic track record, including a 4.0 GPA from the University of Virginia. Professional experience encompasses various roles, including machine learning engineer at Google, research intern at Intel Corporation, and research assistant at the University of Virginia. Key contributions include developing a toolbox for optimal neural network quantization at Kneron, implementing a message transfer interface at Intel, and deploying robust monitoring systems in collaboration with gaming analytics at Insight Data Science. Additional internships at Huawei Technologies and XPENG further demonstrate expertise in data science and software engineering, particularly in traffic simulation and data mining algorithms.