Summary
Zhijie Wang is an Applied Mathematics PhD candidate at UC Davis with seven years of experience bridging math-driven research and practical ML systems. He has interned twice at Qualcomm working on ML architecture and LLM serving for cloud devices, and co-founded two AI/crypto startups where he translated research ideas into product-focused engineering. His background blends rigorous mathematical training with hands-on experience in model deployment and startup operations, giving him a rare mix of theoretical depth and delivery focus. Zhijie has sustained multi-year research work at UC Davis while exploring investment and incubation roles earlier in his career, signaling both analytical rigor and commercial curiosity. Based in Davis, CA, he’s comfortable moving between research code and production constraints, often prioritizing scalable, edge-aware ML solutions.
6 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at University of California, Davis
English, Chinese