Summary
Kenneth Wang is a Principal Member of Technical Staff and AI leader with eight years delivering production-grade ML, LLM, and agentic systems across Fortune-scale and startup environments. He has driven multibillion-dollar impact at Uber by leading real-time pricing, promo, and causal-reasoning ML that produced +$0.5B/year and rebuilt high-performance training and inference stacks at 100k+ QPS. At xAI and Salesforce he focused on agentic Grok and agent knowledge/memory systems, while co-founding a Text2SQL/Text2Code BI startup that demonstrates his product-first approach to language models. His background spans core research in computer vision and NLP—publishing production CV anomaly detection and high-accuracy sequence models at JD.com and CAS—and deep systems work in GPU training, Ray/Horovod, and Go backends. Based in Palo Alto, he combines hands-on model design with platform engineering and scaling expertise, and serves on the board of Altair AI. A not-obvious detail: he has repeatedly moved teams from research prototypes to revenue-generating, low-latency production at extreme scale.
8 years of coding experience
4 years of employment as a software developer
Exchange EECS, Exchange EECS at University of California, Berkeley
University of California, Irvine
Bachelor of Engineering Pattern Recognition & Artificial Intelligence, Bachelor of Engineering Pattern Recognition & Artificial Intelligence at Xi'an Jiaotong University
Master Computer Science, Master Computer Science at Stanford University
English, Chinese