Sayafdine Said
DevOps Cloud Engineer at Société Générale
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolSayafdine Said is a DevOps Cloud Engineer based in Paris with nine years of experience building and operating cloud-native platforms and system-level software. He maintains a Python-based PaaS on Kubernetes at Société Générale, where his work on logging and health-check systems increased monitoring detail by 90% and metric accuracy by 75%, and he improved developer onboarding through clearer documentation. An active open-source contributor, he has implemented low-level PAM authentication features in C++ for the popular howdy project and rewrote FreeBSD filesystem tests in Rust during Google Summer of Code, reducing runtimes dramatically. Comfortable across systems, back-end parsing, and infrastructure, he blends kernel-level programming chops with pragmatic cloud automation and observability expertise.
9 years of coding experience
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Sorbonne Université
English, French, Spanish, Arabic, Swahili
Github Skills (12)
pam10
linux10
c-language10
rust10
cprogramming-language10
regex10
command-line10
testing9
cli9
system-design9
ubuntu7
debian7
Programming languages (14)
Github contributions (5)
boltgolt/howdy
Mar 2020 - Mar 2022
🛡️ Windows Hello™ style facial authentication for Linux
Role in this project:
Back-end Developer
Back-end DeveloperContributions:27 reviews, 57 commits, 10 PRs in 2 years
Contributions summary:Sayafdine primarily focused on implementing the core functionality of the `howdy` project, which provides facial authentication for Linux. They developed a native PAM module and its associated logic, including error handling and user confirmation messages. The user also added features and refactored existing components to integrate with the PAM system. They demonstrated proficiency in C++, PAM, and system-level programming.
pamcameraface-recognitionmanjaroir-camera
sharkdp/pastel
Oct 2019 - Oct 2019
A command-line tool to generate, analyze, convert and manipulate colors
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits, 2 PRs, 9 comments in 1 day
Contributions summary:Sayafdine contributed to the `pastel` project by implementing and testing color parsing functionalities. Their work involved adding support for parsing color representations like CIELAB, RGB (space-separated and percent syntax), gray percent syntax, and supporting different angle units in HSL. The user's commits demonstrate a focus on expanding the color parsing capabilities, improving the versatility of the command-line tool. This is achieved by modifying the parser to recognize multiple color formats.
color-spacecommand-line-toolrustmanipulate-colorsterminal
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