Xiaopeng Wang is a Principal Architect with 11 years of experience designing and optimizing large-scale distributed storage, real-time data processing, and machine learning platforms. Currently at Microsoft he architects AOAI serving for large LLM workloads, improving GPU fleet efficiency and driving SLA-focused, high-throughput model serving. He previously led ads engineering and built ad exchange and campaign systems at Xiaomi and Kuaikan, and has deep hands-on expertise in building real-time face recognition and display ads pipelines processing billions of daily events. Xiaopeng combines system architecture, implementation, and performance optimization skills with a product-aware mindset for production ML and containerized deployments. He is comfortable bridging cross-functional teams to translate performance goals into scalable operational designs and often focuses on squeezing more throughput from constrained GPU/infra resources. Trained with a Master’s in Computer Science from Beijing University of Posts and Telecommunications, he brings both algorithmic depth and pragmatic engineering for mission-critical cloud AI services.
11 years of coding experience
12 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Beijing University of Posts and Telecommunications
Contributions:8 commits, 7 pushes, 1 branch in 1 year 1 month
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