Summary
Liangjie Xue is a Sr Engineering Manager in Cupertino with 16 years of experience applying operations research, statistical modeling and large-scale data analysis to product and business problems. He has built and scaled analytics and data science teams across LinkedIn, Slack and Coinbase—most notably founding Coinbase’s Growth data science organization and growing it to 30+ engineers. His background in industrial engineering and PhD-level optimization informs practical solutions in supply chain, logistics, time series forecasting and dynamic pricing, where he has driven dramatic performance improvements (e.g., cutting simulation runtimes from hours to minutes). Equally comfortable in SQL, Pig, R, Matlab and modern Python/Hive stacks, he pairs deep algorithmic insight with hands-on implementation and visualization skills. Colleagues rely on him to translate complex models into actionable metrics and product narratives that guide sales, platform and risk decisions. He is known for rapidly adopting new tools and embedding rigorous, production-ready analytics into fast-moving teams.
16 years of coding experience
13 years of employment as a software developer
PhD Industrial Engineering, PhD Industrial Engineering at Arizona State University
BS Automation, BS Automation at Zhejiang University
Chinese, English