Summary
Joey Wang is a systems-focused software engineer with nine years of experience building kernel-level and infrastructure software, currently optimizing GPU/TPU model performance for strategic customers at Google. He brings deep expertise in C, C++, and Python from roles at NVIDIA (GPU diagnostics) and Oracle (database space, memory, and storage management), and is pursuing a Doctor of Engineering in AI/ML while holding an MEng from UC Berkeley. Joey specializes at the intersection of hardware-aware performance engineering and AI infrastructure, translating low-level diagnostics into tangible model throughput gains. He has a track record of shipping production-grade tooling for modern GPUs and database engines, and his background across UIUC, Berkeley, and industry labs gives him both theoretical rigor and pragmatic delivery. Off the beaten path, Joey maintains a personal site that documents his technical interests and signals an ongoing commitment to sharing learnings beyond corporate walls.
9 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng Electrical Engineering and Computer Science, Master of Engineering - MEng Electrical Engineering and Computer Science at University of California, Berkeley
Doctor of Engineering Artificial Intelligence and Machine Learning, Doctor of Engineering Artificial Intelligence and Machine Learning at The George Washington University
Shenzhen Middle School
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Illinois Urbana-Champaign
Chinese, English