Oliver Facklam
Advanced Embedded Software Engineer at Zühlke Group
Unterengstringen, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolOliver Facklam is an advanced embedded software engineer based in Zurich with nine years of hands-on experience designing and securing real-time and embedded systems. Currently at Zühlke, he focuses on device-level software and has a track record across STM32 platforms, embedded Linux, and avionics-grade systems from his work with EPFL Rocket Team and STMicroelectronics. His master’s thesis and internships emphasize embedded security—implementing TrustZone-M protections and analyzing side-channel and fault-injection threats for UWB stacks—highlighting a rare blend of low-level systems expertise and practical security engineering. Oliver also brings experience in computer vision, industrial automation, and full-stack service development, showing versatility across C/C++, Embedded C, Python and TypeScript. Known for setting up development workflows and board bring-up procedures, he combines rigorous academic training from EPFL and École Polytechnique with a pragmatic approach to shipping robust, auditable embedded software.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at École PolytechniqueMaster of Science - MS Computer Science, Master of Science - MS Computer Science at EPFLTwo-year undergraduate preparatory course, Two-year undergraduate preparatory course at Lycée Sainte-GenevièveBaccalauréat, Baccalauréat at Lycée Français Gustave Eiffel de Budapest
English, French, German, Hungarian, Spanish
Github Skills (27)
dbus-python9
dbus8
bitbake6
async6
truth-table5
event-emitter5
yocto5
python5
java4
ai4
clang4
rocket4
sdk3
openembedded3
asyncio3
Programming languages (5)
Github contributions (5)
ofacklam/Cible
Mar 2018 - Feb 2025
Contributions:1 push, 1 branch in 7 years
ofacklam/Real-time-object-detection
Oct 2018 - May 2019
Projet de détection et suivi d'objet en temps réel pour permettre l'évitement d'obstacle et le suivi de personnes, en collaboration avec Unsupervised.AI.
Contributions:25 commits, 7 PRs, 39 pushes in 7 months
ai
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