Started as a cloud networking engineer, building core packet-processing infrastructure for AWS networking services used by millions of customers. Since 2024, focused on high-performance networking for GPU clusters that power large-scale AI training and inference — communication libraries, collective-operations performance, and reliability across multiple GPU hardware generations.

• Maintain open-source GPU networking plugins used across AWS’s AI infrastructure
• Lead performance investigations for GPU-to-GPU communication at scale
• Support testing and validation infrastructure for large training and inference workloads