Miao Peng is a Staff Software Engineer with 11 years of experience building cloud-native, embedded, and AI-enabled systems, currently driving platform work at Visa after leading next-generation vehicle diagnostics and AI/ML efforts at General Motors. He combines a Ph.D. in Computer Science and deep research roots—15 peer-reviewed publications and extensive journal/conference reviewing—with hands-on expertise in microservices, Kubernetes, Spring, Azure ML, and embedded Linux. Early work on DOCSIS and 802.11 gateways at Humax and participation in CableLabs specification discussions show his ability to bridge standards, firmware, and cloud. Comfortable moving between research and production, he has a track record of turning academic rigor (NSF-supported wireless research and statistical modeling) into scalable products. Based in Austin, he brings a rare blend of applied ML/NLP, distributed systems design, and wireless protocol knowledge that helps teams ship complex, spec-driven systems.
11 years of coding experience
18 years of employment as a software developer
Ph.D., Computer Science, Ph.D., Computer Science at University of Alabama
M.S., Mathematical Statistics, M.S., Mathematical Statistics at Jilin University
B.S., Applied Math, B.S., Applied Math at Dalian University of Technology
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