Haoran Qiu is a Research Engineer at Microsoft Azure Research with nine years of experience building systems for AI efficiency and sustainability, focusing on agentic AI and cloud-scale optimization. He completed a PhD in Computer Science at UIUC after a research-rich trajectory that includes internships and visiting roles at Google, IBM, and Microsoft, plus systems research at UW–Madison and HKU. Haoran blends deep academic rigor from DEPEND group work with hands-on cloud infrastructure experience, having contributed to Google Cloud and Microsoft cloud-efficiency projects. His background spans both research and production: he moves ideas from papers to implementable systems that improve ML/AI operational costs. Based in Redmond, he’s comfortable at the intersection of systems research, large-scale engineering, and sustainability—often finding practical knobs to make AI workloads measurably cheaper.
9 years of coding experience
6 years of employment as a software developer
Visiting Student Computer Science, Visiting Student Computer Science at University of Wisconsin-Madison
The University of Hong Kong (HKU)
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Illinois Urbana-Champaign
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