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Software is everywhere. And so is Data. Let's build exciting data applications!


Starting at 750€ (VAT excl.) per day.

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Software & Data Engineering#

Python Logo Flask Logo PostgreSQL Logo Docker Logo

Software and data goes hand in hand, but insuring quality for automated data processes is key. I usually advocate for simple and lean processes whenever possible, encouraging the use of quality small data instead of big data.

I can help your team grow by building data pipelines (ETL, ELT), backend services (REST APIs), and orchestrating everything using DevOps methodologies (CI/CD, IaC, Agile project management).

Technologies used on a regular basis:

  • Python
  • Flask / FastAPI / Django
  • Pytest / MyPy / Black / Flake8
  • SQL / PostgreSQL / SQLite
  • Docker / Kubernetes / Terraform
  • Heroku / GCP / Azure / Scaleway
  • Git / GitHub / GitLab
  • GitHub Actions / GitLab-CI

Machine Learning Engineering#

Scikit-Learn Logo Keras Logo Jupyter Logo Metabase Logo

Artificial intelligence and data science has been all the rage for a few years now. However, lots of companies are still struggling to put their machine learning models in production. I can help getting started to automate learning pipelines and integrating models into applications. When designing algorithms, I usually advocate for simpler models focusing on understanding and explainability of predictions.

I can help your data science teams to implement best practices into their workflow to deliver reproducible data analysis and reporting.

Technologies used on a regular basis:

  • Python / Pandas / Numpy
  • SQL
  • Scikit-Learn
  • Tensorflow / Keras
  • PyTorch /
  • Jupyter
  • Datasette
  • Metabase

Technical Training#


The best way to learn is to teach.

-- Frank Oppenheimer

Whether it is new-comers or experienced practitioners, there is always something new to be learned. I like to share my experience and knowledge with others by using active learning teaching methologies: learners are front and center and are building their skillset from top to bottom, applying the concepts right away.

Currently offered training topics:

  • Software Engineering & DevOps
  • Data Engineering / Science / Analysis
  • Artificial Intelligence and Machine Learning