I’m an AI-focused implementation specialist working at the intersection of data, systems, and real-world constraints.
My work sits where things actually need to function: connecting APIs, structuring imperfect data, aligning stakeholders, and making complex systems usable in production. I work in particular on traceability systems (especially in the context of EUDR compliance), supporting the design and implementation of workflows that bridge technical and regulatory requirements.
My background is unconventional. Trained in linguistics and later in mathematics and data science, I also worked as a paleographer for over a decade alongside my other activities. This combination strongly shapes how I approach problems — I focus first on understanding structures, patterns, and meaning before moving to solutions.
For more than twenty-five years, I’ve been developing ad hoc solutions to meet concrete needs, often using tools or languages I discover as I go (VBA, Python, Power Automate, among others). This approach has led me to work across a wide range of environments, consistently prioritizing effectiveness and adaptability to context.
I also use platforms such as SharePoint and Google Workspace to design tools for managing and sharing information, tailored to team constraints and real-world usage.
My experience is also international: I have lived and worked in France, the United States, New Zealand, and Ireland. These diverse contexts have strengthened my ability to adapt, understand different environments, and collaborate with a wide range of profiles.
Today, I’m particularly interested in:
Designing robust and explainable AI systems Building practical data pipelines and API-driven architectures Making complex systems understandable (documentation, training, workflows)
I particularly enjoy working at the boundary between technical depth and real-world usage — where clarity, precision, and adaptability matter more than theoretical perfection.