United States
Seasoned engineering leader specializing in distributed systems, AI infrastructure, and high-performance computing. Extensive experience building and scaling GPU-accelerated platforms and leading global engineering teams to deliver production-grade AI systems.Deep expertise in bridging hardware and software, optimizing AI workloads across GPU architectures, distributed training, and large scale inference. Proven ability to drive AI systems from research to scalable, production environments
Lead engineering efforts for large scale AI infrastructure powering foundation models and generative AI workloads Drive development of GPU accelerated distributed training and inference systems at scale Co design next generation AI stacks with hardware, CUDA, and systems software teams Enable enterprise and research AI workloads across global platforms Scale and lead high performing global engineering organizations delivering production grade systems
Led engineering teams building large scale distributed systems for enterprise data platforms Delivered infrastructure for data processing, real time systems, and early machine learning pipelines Scaled backend systems handling large scale data workloads with high availability and low latency Played a key role in productionizing data and ML infrastructure
Developed networking and distributed systems software for enterprise-scale environmentsFocused on system performance, reliability, and scalabilityContributed to core infrastructure used in large-scale networking deployments