Senior Python Expert | CPython Core Developer

• 🐍 CPython Core Developer since 2019
• 🎤 International conference speaker (PyCon, EuroPython, FOSDEM)
• 📝 Technical writer & blogger at wirtel.be
• 🥋 2nd DAN Karate JKA
• 🏢 Founder of MGX.IO - Python consulting

• Claude Code : comment un assistant IA m'a fait gagner des jours de développement
• Retour aux études : ma formation en intelligence artificielle chez Alyra
• How about checking out the upcoming interesting conferences?
• Utilisation d'Obsidian comme source pour Hugo
• Séjour aux Rêves de Baie de Somme – Maison d’hôtes chaleureuse en Picardie

➡️ Read more on my blog

Contributing to the Python programming language - bug triage, documentation improvements since 2019.

Co-Founder and co-organizer of PythonFOSDEM, a community event that has grown from 80 to 800+ attendees, bringing Python enthusiasts together at FOSDEM.

PyCon Ireland co-organizer (2020-2025) & python.ie maintainer — 11 years serving Ireland's Python community through code, talks, and event organization.

SMTP debugging tool for Python developers - a project that evolved from a simple script to version 1.0.0 over 12 years.

I've delivered 9 major talks across Europe and North America at conferences including:

• PyCon Ireland - Python and open source development
• PyCon Canada - CPython internals and contribution workflows
• EuroPython - Advanced Python topics
• FOSDEM - Community building and Python ecosystem

Areas of Expertise:

• CPython internals and core development
• Machine Learning & Data Science
• Educational data mining and predictive analytics
• Web frameworks (Django, FastAPI, Wagtail)
• Database design and PostgreSQL optimization
• Web3 and blockchain development (Solidity, smart contracts)
• Financial systems and risk modeling
• Open source community leadership
• DevOps & Infrastructure automation (Ansible, Docker, Traefik)
• System administration and large-scale Debian migrations

Recent Projects:

• 📊 Educational Predictive Analytics - ML model to identify and support students at risk of dropout
• 🔄 End-to-End ML Pipelines - From data exploration to production deployment with testing and CI/CD
• 📈 Feature Engineering - Creating business-driven features (success rates, performance trends, segmentation)

ML/Data Science Stack:

• Core ML: scikit-learn (pipelines, preprocessing), pandas, numpy
• Visualization: matplotlib, seaborn, plotly
• Tools: Jupyter notebooks
• MLOps: Reproducible builds, model versioning with joblib, CI/CD for ML

DiagnosIA - Medical Diagnosis Classification System

Built a production-ready medical diagnosis system using Bio_ClinicalBERT for symptom-to-disease classification with 6 disease classes.

Key Achievements:

• Implemented transfer learning with Bio_ClinicalBERT fine-tuning
• Designed intelligent medical data augmentation (shuffle, drop, templates) preserving clinical meaning
• Achieved production deployment with 4 user interfaces (CLI, REST API, Streamlit, Chainlit)
• Architected BERT + LLM hybrid system: BERT for prediction, LLM for clinical summaries
• Multi-backend LLM support (Ollama local, Lightning.AI cloud)

Deep Learning Stack:

Core Skills:

• Transfer learning & model fine-tuning
• Text classification with transformers (BERT family)
• Production ML pipelines (training, evaluation, deployment)
• Multi-device optimization (CUDA, MPS, CPU)
• LLM integration and prompt engineering
• ML application development (API, Web UI, Chat)

• 📖 Writing and relaunching my Python 3.14 book
• 🐍 Contributing to CPython and maintaining the Developer Guide
• 🎪 Organizing PythonFOSDEM community events
• 💼 Available for Python consulting and speaking opportunities
• 🏗️ Building infrastructure automation with Ansible and Docker
• 🌱 Exploring the intersection of Python and blockchain technologies
• 🤖 Building Deep Learning applications with transformers and LLMs (see DiagnosIA project)

Last updated: January 2026