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Matthieu N.MN

Matthieu N.

DevOps & Machine Learning Engineer

€556/day
Toulouse, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Matthieu

DevOps Engineer passionate about Artificial Intelligence
Curious and motivated by innovation, I specialize in setting up and automating DevOps environments (Kubernetes, Jenkins, GitLab CI), while exploring the opportunities offered by artificial intelligence. Thanks to my experience in Java/Python development, I have often held the role of technical referent to ensure reliable and efficient deployments. AI remains a personal area of interest that I like to integrate into my projects when the opportunity arises.
  • French

    Native or bilingual

  • English

    Fluent

  • Japanese

    Basic

Can work on-site
Toulouse (up to 50km)

Experience

  • MyUnisoft
    DevOps
    April 2025 - Today (1 year and 2 months)
    Propose and implement organizational and technical DevOps approaches
    • Administer the Kubernetes environment
    • Setup complete CI-CD under GitLab
    • Study on securing access to a Kubernetes cluster for production.
    • Audit of the industrialization and software solution for a future migration.
    • Setup of a new gitflow
    Environment:
    • OS: Mac
    • Cloud: OVH Cloud public
    • Tools: Kubernetes, Helm / helmfile, GITLAB-CI, Docker, Rancher
  • Entreprenariat
    Machine Learning Engineer
    TECH
    June 2024 - Today (2 years)
    Toulouse, France
    07/2024 to present: Independent in Machine Learning
    Development of an AI Agent to automate Non-Player Character interactions in a video game
    • Analyze, Identify and Implement classification models deployed via Flask, interconnected with a Minecraft server, to orchestrate autonomous NPC behaviors based on their dynamic environment.
    • Design and prepare specific datasets to train models adapted to NPC roles, ensuring optimal action customization.
    • Develop and integrate a Minecraft plugin (Java, Bukkit, Spigot) to synchronize environmental states and AI-generated decisions in real-time.
    • Evaluate and interpret model performance using advanced analysis tools (SHAP, LIME), ensuring accurate and explainable decision-making.
    Main Technologies: Python, Scikit-learn, Flask, Java (Spigot/Bukkit), CentOS, Numpy, Pandas, SHAP.
    Key Result: Creation of a modular and scalable AI, capable of executing fluid and coherent actions, with an infrastructure adaptable to other applications.
  • Personnel
    Personal Project Realization
    TECH
    December 2023 - June 2024 (6 months)
    Toulouse, France
    12/2023 – 06/2024: Personal Project – AI AGENT Team Recommendation Tool for Video Games
    Development of a strategic optimization tool for team compositions
    • Deploy predictive models (Random Forest, LightGBM) via Flask, integrated into an interactive web interface to recommend optimal strategies based on game statistics.
    • Design and implement a Discord bot interacting with GitHub to facilitate continuous testing and updates, improving user engagement.
    • Implement a robust deployment in a CentOS environment, secured with Nginx to manage user traffic and ensure high performance.
    Main Technologies: Python, Scikit-learn, Flask, Random Forest, LightGBM, HTML/CSS/JavaScript, Nginx, Discord API.
    Direct link to the project:
    • Website: Heroesteambuilder.com
    • Source code: OverwatchAI on GitHub.
    Key Result: Creation of a unique platform used by players to optimize their compositions, proving the model's viability and its adaptability to various games.

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Education

  • Computer Engineering Degree Master II, Architecture and engineering of systems and software
    Conservatoire National des Arts et Métiers
    2017
    Diplôme d'ingénieur Informatique Master II, Architecture et ingénierie des systèmes et des logiciels
  • BTS SIO, Programming / computer developer, general
    GRETA
    2014
    BTS SIO, Programmation / développeur informatique, général

Skill set (11)

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