Qing Ye is a highly skilled software engineer and machine learning engineer with a strong academic background, holding a Bachelor of Science and a Master of Science in Computer Science from the University of Illinois at Urbana-Champaign. Experience includes roles at various organizations, including a graduate research assistantship where Qing developed innovative algorithms for protein structure prediction and published significant research. Previous internships at Google and Tesla involved implementing advanced software solutions and migrating legacy systems. Currently, Qing is contributing to LLM infrastructure and has a solid foundation in both software development and machine learning applications.
This person is not in the org chart
This person is not in any teams
This person is not in any offices