William Liu is a backend systems engineer in San Francisco with nine years of experience building robust, large-scale systems and doing applied research at the intersection of computer science and cognitive science. He brings deep expertise in parallel systems, domain-specific compilers, and human-AI interaction from roles at CoPilot and SambaNova, and research work at Carnegie Mellon and NVIDIA. Comfortable moving between production engineering and research, he has taught parallel computer architecture and cognitive science methods, reflecting strong communication and mentoring skills. His academic training spans cognitive science and computer science, informing a rare blend of theoretical neuroscience and practical engineering that guides his work on biologically inspired AI.
9 years of coding experience
5 years of employment as a software developer
High School Diploma, High School Diploma at West High School
High School Dual Enrollment, Applied Mathematics, Engineering, and Physics (AMEP), High School Dual Enrollment, Applied Mathematics, Engineering, and Physics (AMEP) at University of Wisconsin-Madison
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of Texas at Austin
Bachelor of Science - BS, Cognitive Science, Minor in Computer Science, Bachelor of Science - BS, Cognitive Science, Minor in Computer Science at Carnegie Mellon University
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