Summary
Dmitry Duplyakin is a Senior Architect at NVIDIA with 13 years of experience specializing in datacenter modeling, HPC, and large-scale AI/ML infrastructure. He combines deep academic training (PhD, University of Colorado Boulder) with extensive operational experience analyzing tens of millions of HPC jobs and leading analytics for national lab clusters. His work spans benchmarking, job runtime and queue-wait prediction, energy efficiency, and design-of-experiment methods, with publications and studies that bridge systems research and practical cluster operations. Earlier research included a multi-year study of a 2,200-server multi-site testbed and contributions to renewable energy analysis tools like WindWatts that gained Wall Street Journal attention. Dmitry is motivated by tackling hard, scalable problems and translating predictive models into operational impact for computing infrastructure. Based in Lafayette, Colorado, he blends rigorous research instincts with hands-on production experience in datacenter-scale systems.
13 years of coding experience
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Colorado at Boulder
BS, Applied Mathematics and Computer Science, BS, Applied Mathematics and Computer Science at Samara State Aerospace University
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at University of Colorado Boulder
English, Russian