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Michaël RomagnéMR

Michaël Romagné

Supermalter

Machine Learning Engineer / MLOps

€750/day
3 projects
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Michaël

Summary

I optimize your ML and NLP models and implement MLOps solutions to bring your AI projects to life!

Machine Learning Engineer with 5 years of experience, I have contributed to the production of several AI products at Ubisoft, GitGuardian, and Sanofi from end to end. I have worked on complex topics such as:
  • E-commerce fraud detection (xgboost, feature engineering, MLOps, AWS, Kubernetes)
  • Deployment of state-of-the-art NLP models for detecting secrets in source code files (Transformers, Pytorch, FastAPI, ONNX Runtime, AWS Kubernetes EKS)
  • Development of a complete Terraform module for an unstructured data processing pipeline: Transforming PDF, PPTX, DOCX files into vectors in Pinecone (LLMs, multi-modal models / VLMs, OCR, Terraform, AWS, Weight's and Biases Weave)

My skills

ML / NLP / AI:
  • Training and fine-tuning of classic ML models and LLMs / VLMs
  • Agents
  • LLM FinOps: cost/performance evaluation (OpenAI, Bedrock, Benchmarks…)

MLOps / LLMOps:
  • Deployment of AI services: microservices, APIs, batch jobs
  • Implementation of MLOps best practices: reproducibility, versioning (DVC), CI/CD, Docker, experiment tracking, scalability
  • Software Engineering: PEP8, clean, documented, and modular code, error handling, monitoring
  • Multi-cloud: AWS, Kubernetes
  • IaC: Terraform


Data Engineering:
  • Orchestration with Dagster, Airflow
  • Development of ETL / ELT pipelines (pyspark, snowpark)
  • Snowflake, Hadoop, PostgreSQL

Stack

Python, PyTorch, OpenAI, Bedrock, Weights and Biases, DVC, Skypilot, ClearML, Mlflow, BentoML, ONNX Runtime, Streamlit, Grafana, Tableau, Docker, Gitlab CI, Kubernetes, Helm, ArgoCD, Terraform, AWS, Dagster, Airflow, Hadoop, Snowflake
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Spanish

    Conversational

Can work on-site
Paris (up to 50km), Rennes (up to 30km), Nantes (up to 30km), Bordeaux (up to 30km)

Experience

  • Sanofi
    MLOps Engineer - GenAI Platform team - Sanofi Accelerator
    HEALTH AND WELLNESS
    December 2024 - Today (1 year and 6 months)
    Paris, France
    • Implementation of an Unstructured Data Pipeline (UDP) with Terraform, AWS Textract, and multimodal LLMs (Claude 3.7, GPT-4o…) to process PDF, DOCX, PPTX files...
    • Structuring the UDP into modular steps: document parsing (OCR + VLM), metadata extraction (LLMs like Amazon Nova Lite), chunking, then vectorization to Pinecone for RAG use cases.
    • Packaging the UDP as a Terraform module, enabling specific team deployments without data governance friction.
    • Design of hybrid OCR + VLM solutions for complex document parsing, optimized for accuracy, cost, and throughput.
    • Development of an internal benchmark with DVC & Weave to compare open-source libraries and VLMs on structured data extraction.
    • Containerization of Lambda functions to support certain libraries (python-docx, Weave) while respecting AWS constraints.

    • Deployment of Weights & Biases Weave to several teams to standardize LLM monitoring and evaluation (LLM-as-a-Judge, leaderboards, tutorials, support).
    Terraform Amazon Web Services Python Programming NLP LLM
  • GitGuardian
    MACHINE LEARNING ENGINEER
    TECH
    October 2023 - Today (2 years and 8 months)
    Paris, France
    - Creation of the MLOps stack with GitLab CI, SkyPilot, DVC, ONNX Runtime, BentoML, Helm, ArgoCD, and Dagster.

    - Fine-tuning and integration of NLP models into the GitGuardian secret detection engine, reducing False Positives by a factor of 5.

    - Development of a PoC for automatic secret leak remediation using AST parsers and OpenAI API, planned for production in Q1 2025.
    Python Programming Python/Django DevOps Python Developer NLP Natural Language Processing (NLP) Data Scientist NLP Data science Machine learning Amazon Web Services Kubernetes Dagster Data Engineering MLOps Artificial Intelligence Docker Gitlab CI/CD
  • Ubisoft International
    MACHINE LEARNING ENGINEER
    VIDEO GAMES AND ANIMATION
    February 2021 - October 2023 (2 years and 8 months)
    Paris, France
    - Optimization of models (xgboost, fp-growth, feature engineering, semi-supervised learning) for fraud detection in Ubisoft's e-commerce, leading to 5% savings in Ubisoft sales, thus €4M annually.

    - Sharing MLOps best practices with Data teams at Ubisoft (DVC, ClearML, K8s training jobs, AWS)

    - Collaboration with Data Engineers on integrating new data sources for our models: Spark, Hadoop, Airflow
    Machine learning MLOps Kubernetes Amazon Web Services Snowflake Airflow Docker Gitlab CI/CD Pytorch Fraud detection Data Engineer DevOps Artificial Intelligence

Reviews

5.0

Out of 1 rating

N

Nathan

Sanofi - Digital Accelerator

Several months project

-

Reviewed on 6/10/2025

Michael has been a key contributor to our Generative AI platform team during his mission. He played a central role in building our capabilities around LLM monitoring, observability, and evaluation. He also contributed to complex projects involving VLMs and infrastructure development using Infrastructure as Code (IaC) to support reusable AI components. His technical expertise, reliability, and collaborative mindset have made him a real asset to the team. It’s a pleasure to work with him, and I highly recommend him.

Recommendations

AC
Nicolas Guénon Des MesnardsNG
MI
Arnault Chazareix and 2 other people have recommended Michaël

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Education

  • Engineer - Data Science
    ISAE-Supaero
    2020
    Spécialisation Data Science 2 stages en césure Semestre à Singapour

Skill set

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