Putting AI to Work for People.
A Revolution Already Invisible
For decades, artificial intelligence has been improving our daily lives — often without us even noticing. Today, many people reduce AI to large language models like ChatGPT or Claude. Yet if GPS navigation, weather forecasting, machine translation, spell-checking, or facial recognition suddenly disappeared, everyday life would become far more complicated.
Generative AI is following the same path. It is quickly becoming indispensable for saving time and simplifying complex tasks: advanced research, medical image analysis, software development, solving difficult problems, or optimizing production workflows.
“The most powerful technology is the one that disappears into the experience.”
To help AI become exactly that kind of technology — obvious, natural, and indispensable.
In the beginning, there was only a light.
The Windows XP logo lighting up on my PC thanks to a few lines of code — and suddenly, an entire universe awakens.
I've always been fascinated by this kind of alchemy: turning zeros and ones into something that feels alive. As if a modern-day wizard were quietly whispering to machines.
My first line of code changed everything.
During my first year of high school, I typed my first hesitant characters. Scripts that crashed spectacularly, then applications that — against all odds — actually worked.
What once looked like black magic gradually became a language I was learning to speak.
I had gone from spectator to creator. And I never looked back.
What excites me most? Problems that still don't have answers.
I love wrestling with challenges that nobody has managed to make simple — or even public.
From the existential algorithmic puzzle that keeps me awake at 3 a.m. to AI models that stubbornly refuse to cooperate, I've turned that persistence into my greatest strength.
It's what naturally led me toward R&D and innovation at the frontier of artificial intelligence.
The kind of AI you forget about… because it simply works.
There's a world of difference between a demo that impresses and a tool that genuinely helps people every day.
My job is to bridge that gap: turning promising AI into reliable, intuitive solutions that create real value for the people who use them.
Four worlds at your fingertips.
Click the keys with your mouse to explore.
Operating systems
To make applications always more accessible and easy to pick up, I write cross-platform code — making the complexity between a GPU server and a 100% sovereign French application invisible.
✦ Journey
From my first lines
to production.
Six chapters, one trajectory — research, R&D, engineering. Scroll to explore.
- Dec 2024 — Present·Permanent
Designing sovereign, on-premise AI applications, from proof of concept to production deployment.
- Design and optimization of AI solutions to automate, simplify and boost productivity.
- Custom AI applications — containerized and seamlessly integrated into existing systems.
- Resource and performance optimization — minimal footprint, maximal efficiency.
- Prototype to production: AI agents, MCP, knowledge bases…
- Co-author of a paper on a multi-agent architecture for automated ticket generation in industrial environments.
Stack —LLMsGenerative AIPrompt EngineeringvLLMGPU NVIDIADockerKubernetesRancher - Sep 2021 — Sep 2024·Apprenticeship
- Sep 2021 — Sep 2024·Education
- Dec 2022 — Feb 2023·Internship
- Sep 2019 — Aug 2021·Education
- Apr 2021 — Jul 2021·Internship
✦ Publications, patents & certifications
Scientific publications, intellectual property, and certifications obtained.
GDPR and its key concepts
CNIL · Mar 2026
Data protection principles
CNIL · Mar 2026
NVIDIA AI Technical Curriculum
Nvidia · Feb 2026
Compute Technical Curriculum
Nvidia · Feb 2026
Networking Technical Curriculum
Nvidia · Feb 2026
Next step
Want to build something
together?
Product or web idea, R&D, AI prototype, GPU infra audit — I write, I code, I ship.