What I do: Data Science
Turn messy or underused data into clear answers that support better decisions.
See examplesAbout Me
MLE based in Paris, I like building stuff, whether that means data pipelines, machine learning systems, or standard software solutions.
You'll find here a selection of some things I've made.
What I do: Data Engineering
Build reliable pipelines that move data from its source to the people and systems that need it.
See examplesWhat I do: ML Ops
Put models into production and keep them reliable as data, code, and requirements change.
See examplesThe tools I use
I work across data, machine learning, cloud, and product delivery — from ingestion and orchestration to model deployment and user-facing analytics. Can you find the pokemon ? ;)
AWS
GCP
Azure
DatabricksAWSGCPAzureDatabricks
Terraform
Docker
Kubernetes
Cloud Run
GitHub
GitLab CI
Linux
Pikachu
PostgreSQL
BigQuery
ChromaDB
Firebase
SQL
dbt
PySpark
Pub/Sub
TensorFlow
Scikit-learn
Vertex AI
MLflow
SHAP
OpenCV
Pandas
Python
FastAPI
Django
React
Pydantic
Streamlit
Looker
Matplotlib
Seaborn
Plotly
Elastic
GrafanaProjects
Some of my previous experiences include
-
Alert Classification
Construction and operation of ML models filtering alerts generated by the infrastructure supervision systems of a large french bank
-
Data Ingestion Pipelines
Construction of a Data Platform on Google Cloud for a french cosmetics company
-
Autonomous System
Extraction of maneuvers from flight test data for an autonomous flying vehicle
-
Resignation Prediction
Identification of the employees the most likely to resign based on HR data, with a focus on model transparency and explainability
-
Image Generation
Fine tuning of large image models to generate personalized images
-
Data Visualisation
Construction of interactive web app dashboards to represent networks and various graphs