Become a sponsor to mfournigault
I design and build advanced AI systems for complex, high-impact environments.
My background spans more than a decade across machine learning, computer vision, signal processing, industrial AI, and large-scale intelligent systems. I’ve led and delivered AI solutions in domains where reliability, scalability, and scientific rigor matter — including defense, aeronautics, industrial operations, and enterprise platforms.
Today, my work focuses on:
- Large Language Models (LLMs) and agentic systems
- Retrieval-Augmented Generation (RAG)
- Multimodal AI architectures
- AI platform engineering and MLOps
- Applied reasoning systems and knowledge architectures
- Production-grade ML systems at scale
I’m particularly interested in bridging the gap between cutting-edge research and deployable engineering: transforming promising AI concepts into robust systems that create measurable operational value.
Open source is an important part of that mission. I use this space to share tools, experiments, architectures, and technical insights that help engineers build more capable, reliable, and maintainable AI systems.
Sponsorship helps support deeper technical work, open-source contributions, long-form engineering content, and ambitious experimental projects.
Featured work
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mfournigault/supertonic
A fork of supertonic to propose simple additional applications
C++ 1 -
mfournigault/inverse_compositional_algorithm
Python implementation of the inverse compositional algorithm
Jupyter Notebook 1 -
mfournigault/astro_iqa
Quality assessment of astronomical images
Jupyter Notebook 1 -
Jupyter Notebook