Explore my work in compute infrastructure, thermal systems, and mechanical engineering
Designed and validated a comprehensive direct liquid cooling solution for high-density AI compute clusters. This project involved optimizing manifold designs for uniform flow distribution, integrating CDU (Cooling Distribution Unit) systems, and ensuring thermal performance across the entire rack infrastructure.
Architected complete L12 rack systems with optimized thermal management and mechanical integration. The design focused on scalability, maintainability, and performance for large-scale AI cluster deployments.
Developed optimized SFN (System Fabric Network) designs for compute infrastructure, focusing on efficiency, scalability, and performance for AI cluster applications. The project involved system-level optimization and integration.
Designed and validated RDHx (Rack Distribution Heat Exchanger) systems for direct liquid cooling infrastructure. This involved thermal modeling, flow optimization, and comprehensive validation testing.
Worked on end-to-end design and deployment of infrastructure supporting large AI training clusters. This project encompassed mechanical design, thermal management, and system integration at scale.
Specialized project focusing on manifold design for direct liquid cooling systems. This involved computational fluid dynamics (CFD) analysis, flow distribution optimization, and mechanical design for manufacturability.