Guillaume Briffoteaux is a software engineer with a PhD in Engineering and Computer Science and eight years of experience building scientific and cloud-native systems. He combines research-grade expertise in parallel surrogate-based optimization and machine learning with hands-on production work—designing real-time gas-emissions estimation platforms on Azure using Python, PostgreSQL, Docker and CI/CD. As a founder-style technologist he has led a vineyard management SaaS project end-to-end, owning requirements, architecture, and user support while collaborating with academic teams on planning optimization. Comfortable across HPC (MPI, Fortran, C++), data science (GPyTorch, TensorFlow) and DevOps, he bridges heavy numerical computing and pragmatic product delivery. Based in Reims, France, he pairs academic publications and open-source tooling with practical deployments for environmental and industrial applications.
8 years of coding experience
11 years of employment as a software developer
PhD Engineering and Computer Science, PhD Engineering and Computer Science at Faculté Polytechnique de Mons
Master's Degree Advanced Scientific Computing (2nd year), Master's Degree Advanced Scientific Computing (2nd year) at University of Lille 1 Sciences and Technology
Bachelor's Degree Mathematics and Computer Science, Bachelor's Degree Mathematics and Computer Science at Université de Reims Champagne-Ardenne
Master's Degree Mathematical Engineering (2nd part of the 1st year), Master's Degree Mathematical Engineering (2nd part of the 1st year) at Universidad de Santiago de Compostela
Spanish Language and Literature, Spanish Language and Literature at Don Quijote Granada (Spain)
C++ version of the memetic algorithm extendable to different representations such as continued fractions
Contributions:1 push in 1 day
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