Summary
Aubrey Li is a Staff Engineer with 26 years of systems software experience, currently at Intel in Shanghai, where he applies reinforcement learning and ML to optimize server infrastructure, logs, and datacenter power/performance. He has deep kernel and embedded systems expertise from long-term work on Linux, Android, Blackfin, and Solaris platforms, spanning device drivers, bootloaders, and low-level power management features like S0ix. Known for solving world-class customer problems, he has authored power-analysis tooling and contributed to virtualization and memory-migration efforts. His background blends academic rigor (M.S. in EE from Wuhan University of Technology) with hands-on open-source development and OS debugging at scale. An interesting detail: he transitioned from early embedded/telecom platforms to leading ML-driven operational optimizations, marrying decades of low-level expertise with modern reinforcement learning approaches.
26 years of coding experience
12 years of employment as a software developer
Master, EE, Master, EE at Wuhan University of Technology