Liang Yan
Senior Software Engineer, Coreweave

As a software engineer specializing in systems engineering and AI infrastructure, I focus on the intersection of hardware innovation and software optimization. My expertise spans the full stack—from ML workloads and platform architecture to CUDA, NCCL, RDMA optimization, and kernel development across AARCH64, NICs, and GPU virtualization.

I bridge application-level ML requirements with hardware capabilities, working on everything from training/inference optimization to GPU computing internals, collective communication libraries, and RDMA-enabled networking. This positions me at the forefront of vendor partnerships and upstream collaboration in both traditional virtualization and modern AI/ML infrastructure.

Beyond implementation, I drive the complete product lifecycle—design, integration, and customer delivery. I thrive in cross-functional teams, providing technical consulting on AI/ML infrastructure and solving complex challenges in distributed systems.

I am passionate about open-source and knowledge sharing. I maintain a technical blog on virtualization, GPU computing, and ML infrastructure, and regularly present at conferences. Advancing the collective understanding of systems engineering remains core to my mission.