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Axel HouteAH

Axel Houte

🚚 Data & AI Engineer / Supply Chain 🚢

€650/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Axel

🎓 Data & AI engineer applied to Supply Chain, I help companies design and deploy data and AI solutions to improve operational performance, automate processes, and better leverage their logistics data.

I work across the entire data value chain:

Data Engineering
  • Data collection and structuring (APIs, scraping, ETL pipelines)
  • Data warehouse, SQL / NoSQL databases
Machine Learning & Optimization:
  • Flow and demand forecasting
  • Anomaly detection and operational optimization
  • Predictive models (Python, Scikit-learn, Simpy, PyTorch)
Generative AI & Automation:
  • AI agents and workflow automation
  • RAG and LLM integration (GPT, Claude, Llama)
  • Business task automation
Visualization & Management
  • Dashboards and decision support tools (Power BI, Tableau, Streamlit)

🚀 My projects primarily focus on:
- Supply Chain Optimization
- Demand Forecasting
- Operations Automation
- Advanced Logistics Data Exploitation

đź’ˇ Goal: Transform your operational data into decision-making tools and intelligent systems that create immediate value.

👉 Available to discuss your Supply Chain and digital transformation projects.
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Tessia Nova
    Data & AI Engineer
    LOGISTICS AND SUPPLY CHAIN
    January 2025 - Today (1 year and 5 months)
    Paris, France
    Tessia designs, deploys, and operates data and AI solutions dedicated to the Supply Chain.

    We address complex operational and strategic issues, combining business expertise with technological excellence.

    Each solution is custom-designed based on your real data flows and operational challenges. We model your operations, develop appropriate architectures, and integrate data and AI models into dedicated applications, with continuous and measurable performance monitoring.

    Among our achievements, we have developed a SaaS digital twin software that allows for the simulation and analysis of entire supply chains.

    Our ambition is to transform operational complexity into sustainable, measurable, and actionable performance.
    Data Engineering Supply chain Python Discrete Event Simulation Generative AI
  • Aubay
    Data & AI Engineer (Quantum)
    SOFTWARE PUBLISHING
    February 2024 - August 2024 (6 months)
    Boulogne-Billancourt, France
    Carried out structured work around quantum computing, combining theoretical research, experimentation, and application development.

    A first phase involved an in-depth state-of-the-art review, leading to the drafting of a summary document based on the analysis of academic articles and works.

    The second phase focused on implementing two Proofs of Concept using simulators, including a quantum recommendation system and a graph problem-solving algorithm, accompanied by detailed reports and a simplified presentation.

    Finally, this work was leveraged by the development of a containerized application with Docker, presented to a non-technical audience to illustrate the concrete use cases of quantum computing.
    PostgreSQL LangGraph Python

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Education

  • Artificial Intelligence Engineer
    Ecole Supérieur D'ingénieurs Léonard de Vinci
    2024
    Modélisation statistique - Recherche opérationnelle - Analyse statistique - PL/SQL - Traitement automatique du langage naturel - Algorithmes d’apprentissage automatique - Résolution de problèmes - MySQL

Skill set

Categories