Ziheng Liao is a software engineer at Databricks with a decade of experience building cloud and distributed systems, grounded in an MCDS from CMU and a BEng in Computer Science from HKU. He has designed and shipped resource provisioning and cloud infrastructure tooling for Databricks on Azure, and previously optimized cluster computing and Spark/YARN stacks at Lenovo. His background spans backend systems, Python and Scala engineering, and practical ML model delivery from early internships to production services. He also taught a graduate-level storage systems course at CMU, reflecting a strong foundation in systems theory as well as hands-on implementation. Based in California, Ziheng combines research-oriented rigor with production-focused pragmatism, often translating academic concepts into scalable cloud services. An early contributor to Databricks intern projects, he brings continuity across prototype and production lifecycles.
10 years of coding experience
1 year of employment as a software developer
The University of Hong Kong (HKU)
Master's degree, Computer Science, Master's degree, Computer Science at Carnegie Mellon University
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