Summary
Shengquan Ni is a software engineer and sixth-year Ph.D. student at UC Irvine specializing in distributed systems and collaborative data processing, with about a decade of industry and research experience. He led the design and implementation of Amber, a low-latency distributed processing engine that enables interactive, real-time insights and sub-second runtime interaction in the Texera analytics platform. His internships and roles at Google and Workday exposed him to large-scale data processing, cache optimization, and LLM-related techniques, bridging academic research with production systems. Shengquan combines strong systems engineering skills with a user-centric focus on real-time collaboration features, making analytics workflows more interactive and shareable. Based in Irvine, CA, he pairs rigorous academic training with hands-on production delivery and a demonstrated ability to translate research prototypes into scalable infrastructure. An understated strength is his knack for designing DSLs and metrics pipelines that make complex execution plans observable and actionable.
10 years of coding experience
1 year of employment as a software developer
University of California, Irvine
Chinese, English