Fabien Rétif

Président - Fondateur

Aubenas, Auvergne-Rhône-Alpes, France
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Summary

👤
Senior
🎓
Top School
Fabien Rétif is a founder and technologist with 11 years of experience who blends a PhD in physical oceanography with engineering expertise to build high-performance digital twins for coastal flood risk forecasting. As Président-Fondateur of Snale, he leads development of operational web and mobile systems that couple satellite imagery, hydrodynamic models and HPC to deliver actionable flood forecasts for municipalities and citizens. He is a full‑stack developer and systems thinker—fluent in Java Spring, Python/Django, Vue.js, GIS tools and parallel programming—who has repeatedly translated complex geophysical models into scalable production services. His background ranges from academic postdocs and international research projects to SCRUM coaching and consulting for public agencies, giving him uncommon fluency at the science–product interface. Notably, he combines hands-on HPC/model profiling with product leadership, enabling rapid, data-driven decision support for high-volume environmental datasets.
code11 years of coding experience
job1 year of employment as a software developer
bookThèse de doctorat, Océanographie physique, Thèse de doctorat, Océanographie physique at Université de Montpellier
bookDiplôme d'ingénieur, Informatique et Gestion, Diplôme d'ingénieur, Informatique et Gestion at Polytech Montpellier
bookBaccalauréat professionnel, Tool and Die Technology/Technician, Mention bien, Baccalauréat professionnel, Tool and Die Technology/Technician, Mention bien at Lycée Marcel Dassault
bookBTS informatique de gestion, Computer Programming, Specific Applications, BTS informatique de gestion, Computer Programming, Specific Applications at Lycée Jean Mermoz
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Github Skills (37)

mojo8
des7
api5
spring5
django5
studio5
docker5
javascript4
sis4
vuex4
front4
java4
batch4
vue3
rest3

Programming languages (5)

JavaShellVueJavaScriptPython

Github contributions (5)

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snale-net/pySpatialETL

Mar 2019 - Sep 2022

Extract - Transform - Load (ETL) of geospatial data, that is, digital geospatial information representing space and time-varying phenomena. This python package deals with multi-dimensional gridded data and multi-dimensional multi-point data.
Contributions:7 reviews, 115 commits, 6 PRs in 3 years 6 months
fretif/toolbox

Jan 2016 - Apr 2021

Contributions:56 pushes, 1 branch in 5 years 4 months
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Fabien Rétif - Président - Fondateur