Guowang Li is a research engineer in Mountain View with three years focused on AI/ML and a longer engineering track across Google and Waymo. He has transitioned from search indexing and perception systems—applying neural architecture search at Waymo—to post-training work on Gemini enterprise agents and now RL-driven agentic coding at DeepMind. Holding a PhD in Electrical Engineering from Notre Dame and a BS from Peking University, he blends rigorous academic training with production-scale software experience. Guowang’s background spans low-level infrastructure and cutting-edge research, making him adept at turning experimental models into reliable systems. Notably, his career reflects a pattern of moving from large-scale indexing and perception problems toward agentic and reinforcement learning challenges.
3 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS, Electronics Engineering and Computer Science, Bachelor of Science - BS, Electronics Engineering and Computer Science at Peking University
Doctor of Philosophy (PhD), Electrical Engineering, Doctor of Philosophy (PhD), Electrical Engineering at University of Notre Dame
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
Contributions:1 push in 1 day
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