Freelancer profile translated to English.

Description

With over 8 years of experience in Data & AI, I am involved in both strategic and technical aspects. I enjoy identifying the right problem to solve and designing robust solutions, from R&D to production deployment.

I bring my expertise to missions such as:

Scoping, consulting, and training
Optimizing data pipelines and infrastructure
Developing data/AI solutions
Supporting teams as a lead/manager (e.g., interim management)

With a cheerful and jovial nature, I place great importance on maintaining a good team atmosphere :D

Finally, I prefer remote work simply because I live in La Rochelle — but I am happy to meet with teams whenever possible.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

L'OREAL GLOBAL BEAUTY TECH
On Malt
Machine Learning Engineer
FASHION AND COSMETICS
December 2025 - January 2026 (1 month)
Paris, France
BrandSpotter is an internal tool dedicated to the early identification of high-potential brands**, using multi-source data** (social networks, financial data, etc.), facilitating strategic decision-making for business teams.

Redesigned the data architecture to improve scalability and maintainability for large volumes (**>600M lines of text data**).
Designed and implemented aNLP and graph-based processingpipeline (NetworkX), enabling multi-source data synchronization and rapid integration of new sources.
Data modeling and preparation (DBT) for feeding Tableau dashboards, facilitating their **direct use by business teams**.
Set up anddeployment on GCP(BigQuery, Cloud Run) with workflow industrialization via CI/CD (Cloud Build) and process orchestration.

Impact:
Significant reduction in the time to integrate new data sources.
Improved data reliability and availability for business analysis.
Accelerated decision-making through relevant metric visualizations.
Google Cloud Platform (GCP) Graph Theory Machine learning CI/CD DBT
Kering
Head of Data Science Platform
LUXURY GOODS
November 2024 - November 2025 (1 year)
Paris, France
Responsible for the maintenance of a Data Platform (AWS) used by about twenty Data Scientists and Data Analysts, while participating in the construction of a Data Platform (GCP):
Provision of key services: workspace, computing power, storage and querying of large data volumes, orchestration, CI/CD, observability.
Design of a new Data Platform usable by other Houses of the group.
Migration of the legacy DP (AWS) to the new DP (GCP), with support for teams during the transition.
Creation and maintenance of ETL pipelines from various sources to feed Data Science projects.
Google Cloud Platform (GCP) Amazon Web Services CI/CD Python MLOps
Kering
Head of AI
LUXURY GOODS
October 2022 - October 2024 (2 years)
Paris, France
Responsible for the team dedicated to designing custom AI/ML solutions and driving strategic initiatives - the AI Factory:

Definition of the team's vision, roadmap, and value proposition.
End-to-end project supervision, ensuring high-quality solutions aligned with business needs.
Management and development of a high-performing team.
Facilitation of communication between teams and stakeholders to identify priorities and synergies.
Development of impactful business reviews for strategic decision-making at the executive level (C-levels).
Optimization of resources (budget, recruitment) to maximize team efficiency and project success.
Leadership