Summary
Renjie Wu is a software engineer with 13 years of experience, currently optimizing on-device ML models for Gemini Nano at Google. He blends deep academic training—a PhD and MS in Systems Engineering from UC Berkeley—with hands-on startup experience as a founding engineer of a machine-learning medical software company acquired by Fosun Pharma. His background in geophysics and complexity science informs a systems-level approach to performance and robustness in constrained environments. Comfortable moving between research, product, and production code, he focuses on shipping efficient, user-friendly ML solutions on edge devices. Outside work he’s an avid cyclist and basketball fan who brings curiosity from physics and esports into playful problem-solving.
13 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Systems Engineering, Doctor of Philosophy - PhD, Systems Engineering at University of California, Berkeley
Complexity Summer School, Complexity Summer School at Santa Fe Institute
Bachelor of Science (B.S.), Geophysics, Cum Laude, Bachelor of Science (B.S.), Geophysics, Cum Laude at Colorado School of Mines
English, Chinese