Summary
Azure W is a software engineer with nine years of experience building large-scale cloud and AI infrastructure, currently working on LLM infrastructure, vector search, and semantic caching at Apple. A CMU MS graduate with prior roles as a tech lead at VMware—where they drove distributed big-data analytics and autoscaling for hybrid cloud—and as an SDE at Wish and research scientist at MSRA, they bridge research-grade ML systems and production distributed platforms. They excel at designing scalable, reliable services for telemetry, autoscaling, and retrieval-augmented generation workflows. Based in California, Azure combines strong academic pedigree and top-of-class undergraduate performance with hands-on delivery across enterprise and research settings, often tackling the intersection of ML infra and cloud-native engineering.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering, Internet of Things Engineering, 91.78/100 1/118, Bachelor of Engineering, Internet of Things Engineering, 91.78/100 1/118 at Beijing University of Posts and Telecommunications
High School Diploma, High School Diploma at Zhengzhou Foreign Language School
Master of Science, Computer Science, Master of Science, Computer Science at Carnegie Mellon University
English, Chinese