Summary
Hai Qian is a software engineer with 13 years of experience applying machine learning and big-data techniques to production systems, currently building tooling to improve search ranking at Google. With a Ph.D. in Physics from the University of Chicago and a strong academic background at UCLA, he has translated research-grade data mining and parallel computation methods into scalable engineering at Pivotal and beyond. An R expert and author of multiple R packages including PivotalR, he brings deep statistical software craftsmanship to large-scale ML pipelines. His work spans algorithm design, parallel computation, and pragmatic tooling for model deployment—combining researcher-level rigor with production engineering at internet scale. An intriguing thread through his career is the consistent focus on turning complex time-series and network analyses into robust, high-performance systems.
13 years of coding experience
2 years of employment as a software developer
Ph. D., Physics, Ph. D., Physics at University of Chicago
English, Chinese