Ralph L is a Forward Deployed Engineer with a decade of experience building high-performance software across GPU-accelerated ML, HPC, and full-stack applications. He spent multiple years at NVIDIA developing RAPIDS graph libraries and deep learning tooling using C/C++, CUDA, Python, and containerized CI/CD, and contributed to accelerated graph algorithms for GPUs. His background includes HPC research at Los Alamos National Laboratory—working on networks, job scheduling, and distributed workloads—and backend mobile services built with NodeJS and Firebase during a Georgetown University internship. Now at Fluidstack, he applies systems-level expertise to deploy and optimize large-scale compute workloads in production. An avid Linux user and badminton player, he brings a practical mix of research experience and hands-on engineering that helps translate ML research into robust, deployable systems.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Compuer Science, Bachelor of Science - BS, Compuer Science at Georgetown University
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