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Description

🚀 What I do

I help companies reliably and scalably put AI systems (ML & GenAI) into production on Google Cloud Platform.

Specializing in MLOps and industrialization, I work across the entire chain:

• Scalable ML & data architectures

• Production deployment of ML & LLM models (Vertex AI)

• Industrialized training / inference pipelines

• CI/CD, containerization, and deployment

• Monitoring, reliability, and optimization

👉 Hands-on experience: ML pipelines in production, GenAI systems (automated translation, agents), large enterprise environments.

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Arturia
Gen AI Engineer
December 2025 - March 2026 (3 months)
Levallois-Perret, France
Industrialization of an end-to-end GenAI translation platform

• Integration of Adaptive Translation + glossaries + example database with continuous quality improvement.
• Development of an automated quality check agent (structure + linguistics + TQI scoring).
• Creation of an operational web application

**Environment**: GCS, Cloud Functions, Adaptive Translation, Gemini
Google Cloud Functions Google Cloud Storage Gemini
Virbac
Gen AI Engineer
PHARMACEUTICALS INDUSTRY
November 2025 - December 2025 (1 month)
Levallois-Perret, France
Development of an agent-based solution for automated extraction of medical terminology from multilingual documents.

• Implementation of ADK agents comparing source/target documents to identify terminological pairs.
• Structuring of a multilingual glossary usable by translation systems.

**Environment**: ADK, Gemini

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Evaluation and iteration of GenAI architectures for scalable e-learning content production.

• Design of an initial architecture based on video generation (Veo3 + TTS) and critical analysis of pedagogical limitations.
• Redesign towards a structured slide-based approach (LLM + visual generation + TTS + video assembly).
• Automatic breakdown of the course into sections to improve readability and retention.
• Qualitative analysis of results (pedagogical quality, coherence, pacing, content depth).
• Identification of industrialization avenues: TTS improvement, visual enrichment, addition of specialized agents, quiz generation, scalable architecture on GCP.

**Environment**: ADK, Gemini, Veo3, Chirp3
Google ADK Gemini
Louis Vuitton
Data Engineer
LUXURY GOODS
January 2025 - October 2025 (9 months)
Paris, France
Contribution to the migration and reconstruction of the global data platform on Alibaba Cloud to ensure compliance with PIPL regulations.

• Reproduction of data models and prioritization of critical tables.
• Implementation of ETL flows on MaxCompute.
• Controlled synchronization of non-sensitive data between Europe and China via Fivetran.

**Environment**: Alibaba Cloud, Fivetran

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Development and evolution of data pipelines to meet the analytical needs of global HR teams.
• Design of dbt models and ETL pipelines on BigQuery.
• Implementation of Airflow pipelines for GCS → BigQuery ingestion.
• Schema evolution and optimization of Fivetran connectors.

**Environment**: DBT, Airflow
DBT Big Query Airflow Fivetran