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Working from home
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arnaudstdr/README.md

Hi, I'm Arnaud 👋

🎯 Currently available for freelance missions in MLOps and Python development
🚀 I design and deploy full-stack ML systems — from data scraping and preprocessing to training, deployment, and automation.

🧠 What I do

After 12 years in industry solving complex technical challenges, I now build smart ML systems with a strong delivery mindset.

I build end-to-end AI solutions using:

  • MLflow, Vertex AI, Docker, FastAPI, Streamlit, Gradio
  • LangChain & OpenAI to create smart AI agents
  • CI/CD pipelines with GitHub Actions

🛠️ My freelance services

  • 🌐 Deploying ML models (API + Docker + GCP, MLflow, CI/CD)
  • 🤖 Building custom AI agents (OpenAI, LangChain, scraping + summarization)
  • 📊 Creating interactive dashboards (Streamlit, Gradio, FastAPI)
  • 🔁 Automating ML workflows & MLOps pipelines (training, monitoring, versioning)

👨‍💻 Tech I'm comfortable with

Python • Docker • GCP • MLflow • FastAPI • LangChain • Streamlit • GitHub Actions
(+ a good dose of curiosity and pragmatism 😄)

📍 Based in Strasbourg – Working 100% remote

Feel free to check my pinned projects or reach out if you have a project in mind!

🔍 Build in public. Share the struggles. Deploy what matters.

Pinned Loading

  1. mlops-deploy-monitor mlops-deploy-monitor Public

    Projet MLOps : entraîner, déployer et surveiller un modèle ML basé sur le projet ml_calories_burned_predictor

    Python 2

  2. resume_news resume_news Public

    Pipeline automatisé de veille IA générant chaque semaine un résumé structuré à partir de flux RSS, avec scraping, normalisation, stockage SQLite et exécution via Docker.

    Python

  3. ml-energy-predictor-api ml-energy-predictor-api Public

    Ce projet est une démonstration de la mise en production d’un modèle de Machine Learning à travers une API Flask et une interface utilisateur Streamlit.

    Jupyter Notebook

  4. ml_calories_burned_predictor ml_calories_burned_predictor Public

    🔍 Projet ML complet : dataset synthétique, modèle Random Forest, app déployable en Streamlit.

    Jupyter Notebook

  5. domestique-ai domestique-ai Public

    Python

  6. tweet_sentiment_analysis tweet_sentiment_analysis Public

    Projet d'analyse des sentiments exprimés dans des tweets en utilisant des techniques de NLP et de deep learning

    Jupyter Notebook