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matrixise - Overview

Hi there πŸ‘‹ I'm StΓ©phane Wirtel

Senior Python Expert | CPython Core Developer

  • 🐍 CPython Core Developer since 2019
  • 🎀 International conference speaker (PyCon, EuroPython, FOSDEM)
  • πŸ“ Technical writer & blogger at wirtel.be
  • πŸ₯‹ 2nd DAN Karate JKA
  • 🏒 Founder of MGX.IO - Python consulting
  • 🏭 Former Odoo Core Developer (formerly OpenERP, formerly TinyERP)

πŸ“š Latest Blog Posts

➑️ Read more on my blog


πŸš€ Featured Projects

CPython Core Developer

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

PythonFOSDEM

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

Python Ireland

PyCon Ireland co-organizer (2020–present) & python.ie maintainer β€” 11 years serving Ireland's Python community through code, talks, and event organization. Next edition planned for November 2026.

dsmtpd

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

Odoo (formerly OpenERP)

Senior Software Engineer at Odoo S.A. (2008–2014) β€” 6 years across multiple roles: Core Developer, SaaS Engineer, Technical Trainer, and Release Manager.

  • Loempia β€” Author of the application store framework that became the foundation for apps.odoo.com
  • Client integrations β€” Delivered on-site integrations and customizations for Odoo customers
  • Technical training β€” Conducted training sessions internally at Odoo as well as for partners and clients
  • runbot.odoo.com β€” Worked on the continuous integration platform used to test every branch of the Odoo codebase
  • SaaS β€” Involved in the early days of Odoo's SaaS offering, one of the first cloud ERP initiatives in the ecosystem

🎀 Conference Talks

Talks delivered across Europe and North America:

➑️ All talks on mgx.io


πŸ› οΈ Tech Stack & Skills

Python Django FastAPI PostgreSQL Next.js Solidity Git Docker Ansible Debian Traefik scikit-learn pandas Jupyter PyTorch HuggingFace Streamlit Chainlit

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

πŸ€– Machine Learning & AI

Classical ML & Data Science

Recent Projects:

  • πŸ“Š Educational Predictive Analytics - ML model to identify and support students at risk of dropout
  • πŸ”„ End-to-End ML Pipelines - From data exploration to production deployment with testing and CI/CD
  • πŸ“ˆ 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

Deep Learning & NLP

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:

PyTorch HuggingFace Transformers LangChain

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)

πŸ“Š GitHub Stats

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πŸ“« Connect With Me

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🎯 Currently

  • πŸ“– Writing and relaunching my Python 3.14 book
  • 🐍 Contributing to CPython and maintaining the Developer Guide
  • πŸŽͺ Organizing PythonFOSDEM community events
  • πŸ’Ό Available for Python consulting and speaking opportunities
  • πŸ—οΈ Building infrastructure automation with Ansible and Docker
  • πŸ€– Deep-diving into the AI ecosystem: LLMs, RAG, MCP, A2A, and autonomous agents
  • πŸ€– Building Deep Learning applications with transformers and LLMs (see DiagnosIA project)

Last updated: May 2026