Mohammed Le Doze
Cloud Engineer at Euro Information
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolMohammed Le Doze is a Cloud Engineer based in Paris with 15 years of experience designing and operating backend and cloud-native systems across media, payments, and telecoms. He progressed from R&D and web development roles—building CMS, real-time live tools and subscriber platforms—to leading development at Dalenys and now focusing on cloud engineering at Euro Information. A pragmatic engineer, he blends Java/CI-era discipline with modern cloud practices and has a strong track record in refactoring and maintainable backend design. His open-source work on the widely used mledoze/countries project shows attention to data modeling, format conversion and edge-case handling (currencies, field inclusion/exclusion). Comfortable across databases, messaging and deployment stacks, he excels at turning complex integration requirements into robust, testable components. Colleagues describe him as detail-oriented and curious, with a history of improving long-lived systems rather than chasing short-term rewrites.
15 years of coding experience
8 years of employment as a software developer
Master’s Degree, Information Technology, Master’s Degree, Information Technology at Institut supérieur d'Electronique de ParisBaccalauréat Scientifique, General Studies, Baccalauréat Scientifique, General Studies at Lycée Emmanuel MounierDUT, Electrical and Electronics Engineering, DUT, Electrical and Electronics Engineering at IUT de Cachan
French, English, German
Github Skills (10)
xml10
json10
csv10
php10
data-conversion10
co9
yaml9
country-codes9
git8
phpunit7
Programming languages (6)
Github contributions (5)
mledoze/countries
Jan 2012 - Feb 2022
World countries in JSON, YAML, CSV and XML. Any help is welcome!
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 releases, 9 reviews, 430 commits in 10 years 3 months
Contributions summary:Mohammed primarily contributed to the project by adding functionality for converting country data into various formats like CSV, XML, JSON, and YAML. They refactored the code to improve maintainability by introducing an abstract converter and implementing specific converters for different formats. The user also improved the code by fixing type inconsistencies and handling currency-related issues. Furthermore, they added features like excluding/including specific fields.
csvxmlyamlgeojsontopojson
mledoze/latex
Apr 2012 - Mar 2015
Contributions:6 commits, 1 push in 2 years 11 months
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