John Ríos is a Senior AI Benchmark Engineer with 13 years of experience blending high-performance computing, computer architecture, and deep learning to optimize DNN execution across AMD, NVIDIA, and Intel platforms. His PhD research at Universitat Politècnica de Catalunya focused on reduced-precision numerical formats for training neural networks, and he brings hands-on expertise in CUDA, binary analysis, and emulation of custom numeric types. He has implemented and supported new DNN operators in oneDNN and held research and engineering roles at Barcelona Supercomputing Center, Intel, and Codeplay, translating academic advances into production-grade performance. Based in Barcelona, he pairs academic rigor with practical implementation experience, and is especially skilled at squeezing peak performance from heterogeneous hardware by co-designing algorithms and low-level kernels.
12 years of coding experience
12 years of employment as a software developer
Master's Degree, Computer Science, High Performance Computing, Master's Degree, Computer Science, High Performance Computing at Universidad Tecnológica de Pereira
Contributions:6 PRs, 25 pushes, 7 branches in 1 year 9 months
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John Ríos - Senior AI Benchmark Engineer at SiPearl