Jérémy Olivier

Data Scientist at Groupe Mutuel

Passionate about the latest trends in AI, I build models and applications that support business teams and customer-facing services.

Approach

Grounded in logic. Driven by data.

From machine learning to generative AI, I develop solutions that balance innovation with reliability. Fast learner, autonomous, and extremely curious, I thrive on turning research into production-ready systems that deliver measurable impact.

Methodology

Build • Measure • Learn

I ship focused experiments with built-in observability. Every prototype includes monitoring and evaluation from day one, measuring real usage, learning fast, and adapting based on data.

This iterative cadence is what keeps production AI systems trustworthy and aligned with business goals.

BUILD MEASURE LEARN
Iterate Fast

Technical Stack

Tools that power my work

From Python and Scikit-learn to Azure and Docker, these are the platforms I use daily to build, deploy, and monitor AI systems in production environments.

  • Linux
  • GitLab
  • Microsoft Azure
  • Databricks
  • Docker
  • Langfuse
  • LiteLLM
  • UV
  • Python
  • FastAPI
  • Polars
  • Scikit-learn

Core Values

Principles that guide my work

Three values that shape how I collaborate, deliver, and create impact in every project.

Transparency

Open communication about decisions, trade-offs, and progress creates trust and alignment across teams.

Accountability

Taking ownership from prototype to production, ensuring models are monitored and maintained beyond launch.

Freedom

Empowering teams with autonomy and clear boundaries to explore, experiment, and innovate effectively.