Guillaume Chérel is a software engineer with 12 years of experience building scientific and data-driven systems, combining research rigour from a PhD with practical production delivery. He has led data science efforts at Predicity and implemented robust NLP testing and deployment pipelines for Piaf at Etalab, automating daily performance reports with Dockerized Python tooling. His background spans GPU parallelization in Haskell, Elasticsearch search engines on AWS, and urban sensing models developed at Inria, reflecting fluency across functional and imperative languages. Comfortable moving between research and engineering, he has a track record of turning complex models and domain expertise into reliable services for public-sector and scientific users. An interesting thread through his career is applying advanced optimisation and evolutionary algorithms to reveal diverse model behaviours—work that influenced open-source tooling like the MGO library.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Computer science, ecology, philosophy, Doctor of Philosophy (PhD), Computer science, ecology, philosophy at Université Pierre et Marie Curie (Paris VI)
Contributions:8 commits, 1 PR, 7 pushes in 3 years 2 months
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