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.
Find my personal contributions arround:
computer vision,
Large Language Models,
Multi-modal Models.
On my github account: https://github.com/mfournigault?tab=repositories
On Hugging Face account: https://huggingface.co/selfmaker