Tristan Cabel is a Senior Research and Development Engineer based in Rennes with 11 years of experience specializing in high-performance computing, GPU programming, and high-performance data analytics. Self-taught in GPU development since 2009, he has a long track record of accelerating scientific simulations and adapting numerical codes for hybrid CPU/GPU architectures using CUDA, MPI, OpenMP and StarPU. At Inria he has driven HPDA and deep learning efforts, live visualization pipelines, and parallel I/O for large-scale simulations, while at Amadeus he applied Scala, Spark and streaming technologies to near-real-time operational data. Comfortable across Fortran, C/C++, Python and a broad HPC toolchain (VTune, Allinea DDT, HDF5, MKL), he bridges research and production needs with a pragmatic focus on performance and maintainability. A certified Scrum Master who also contributes to visualization and scaling strategies, he combines low-level optimization skills with system-level architecture experience that few engineers sustain over a decade.
11 years of coding experience
5 years of employment as a software developer
Master's Degree, Electronic and communication networks, Master's Degree, Electronic and communication networks at Institut national des Sciences appliquées de Rennes
Contributions:52 pushes, 1 branch in 1 year 2 months
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