Armand Foucault
Lead Software Engineer at MAE (Mutuelle Assurance Education)
France
Summary
👤
Senior🎓
Top SchoolArmand Foucault is a Lead Software Engineer with 11 years of experience building cloud-native platforms for AI-driven regulated medical devices, currently as the first software hire at Spotlight Medical. He combines hands-on backend development in Go, PostgreSQL, and AWS infrastructure with orchestration of GPU-backed AI workloads, CI/CD, and regulatory-grade software lifecycle documentation for FDA and CE submissions. Previously a Tech Lead at Cardiologs, he modernized a large Python monolith, shipped a clinician-facing ECG viewer, and improved CI/Docker build performance by up to 10× while leading cross-functional teams. An active contributor to Python tooling, he enhanced memory_profiler with flame-graph visualization and interactive plotting, reflecting a practical focus on observability and performance. Comfortable across cloud, ML productionization, and clinical workflows, he brings a rare blend of product delivery, regulatory rigor, and low-level performance engineering.
11 years of coding experience
7 years of employment as a software developer
Engineering Degree, General Engineering with a focus on Computer Science, Engineering Degree, General Engineering with a focus on Computer Science at IMT AtlantiquePreparatory Classes for French Grandes Écoles, Mathematics and Physics, Mathématiques et Physique, Preparatory Classes for French Grandes Écoles, Mathematics and Physics, Mathématiques et Physique at Lycée Pierre Corneille Rouen
French, English, Japanese, Chinese
Github Skills (8)
memory-profiling10
python10
matplotlib10
debugging9
algorithms8
data-structures8
algorithm8
data-structure8
Programming languages (10)
Github contributions (5)
pythonprofilers/memory_profiler
Apr 2019 - May 2019
Monitor Memory usage of Python code
Role in this project:
Back-end Developer
Back-end DeveloperContributions:21 commits, 1 PR, 1 comment in 24 days
Contributions summary:Armand implemented features related to memory profiling and visualization within the `memory_profiler` library. They added a stack mechanism to the `TimeStamper` class for tracking function call levels and integrated this logic into the `_TimeStamperCM` context manager. Furthermore, the user enhanced the plotting functionality in `mprof.py` by creating a flame graph mode, introducing hover effects for function labels, and improving the layout and zoom capabilities.
python
Afoucaul/nvim-todo
Dec 2020 - Sep 2021
Contributions:37 commits, 17 pushes, 1 branch in 8 months
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