Jiamin Lin is a PhD candidate at the University of Sydney. His research interests lie in the optimization of distributed AI inference systems and multi-agent systems. His work aims to improve the efficiency of AI inference in performance-constrained scenarios by providing algorithmic and network-level optimizations.
Prior to his PhD, Jiamin worked as a full-stack software engineer, participating in the design and development of a distributed heterogeneous idle computing power sharing platform for AI inference. In his spare time, he enjoys hiking and gaming.