Summary
Xiao Ming is a software engineer specializing in GenAI and cloud infrastructure with eight years of experience building scalable backend systems and automation. A Carnegie Mellon MS graduate with a BS from UC Berkeley, he has orchestrated lifecycle management for tens of thousands of servers and implemented Kubernetes, IaC, and CI/CD solutions that materially improved availability and reduced MTTR. At ServiceNow he bridged research and production—collaborating with linguists and scientists to ship a next-gen web agent, build LLM benchmarks tailored to customer use cases, and create tooling that cut benchmark runs by 30%. His hands-on stack includes Python, Java, C, SQL and practical experience with Go, JavaScript, and cloud services across hybrid multi-cloud environments. Pragmatic and metrics-driven, he combines deep systems-level thinking with a knack for developer tooling and automation that accelerates validation and deployment. Based in the Bay Area, he’s actively seeking full-time backend roles where he can apply GenAI and infrastructure expertise to impact product reliability and developer productivity.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS Electrical Engineering and Computer Science, Bachelor of Science - BS Electrical Engineering and Computer Science at University of California, Berkeley
Master of Science - MS Mobile and IoT Engineering Computer Engineering, Master of Science - MS Mobile and IoT Engineering Computer Engineering at Carnegie Mellon University