Services#
Software is everywhere. And so is Data. Let's build exciting data applications!
Fare#
Starting at 750€ (VAT excl.) per day.
Software & Data Engineering#
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#
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 / Fast.ai
- Jupyter
- Datasette
- Metabase
Technical Training#
Quote
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