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Malt Strategy
Kilian MeddasKM

Kilian Meddas

Full-Stack Developer (React / FastAPI)

€230/day
Paris, FR
0-2 years
React.js
FastAPI
Docker
Python
Développement Back-End

Average response time: 1 hour

About Kilian

Je suis développeur Full-Stack spécialisé en React et FastAPI, avec une forte appétence pour la création d’applications web performantes, scalables et bien structurées.

J’interviens aussi bien sur le frontend que sur le backend, avec une approche orientée produit : interfaces propres, APIs robustes et architecture propre. J’utilise régulièrement Docker pour faciliter le déploiement et la reproductibilité des environnements.

En parallèle, je développe des projets autour de l’intelligence artificielle et du machine learning, ce qui me permet d’avoir une vision plus complète des systèmes modernes.

Je suis à l’aise sur des projets de :

  • développement d’applications web full-stack
  • création et intégration d’API REST
  • mise en place d’architectures backend
  • conteneurisation et déploiement avec Docker

Je travaille en remote et je suis rigoureux sur la qualité du code, la communication et le respect des délais.

  • English

    Fluent

  • French

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • MUNIC
    Software Engineer Intern
    AUTOMOBILE
    April 2025 - August 2025 (4 months)
    Le Kremlin-Bicêtre, France
    Designed and developed an automated end-to-end testing system to improve
    software quality and reliability.

    • Built a test runner to execute reusable test scenarios for continuous testing
    workflows.
    • Designed structured test case definitions to support scalability and
    maintainability.
    • Implemented automated reporting system to summarize test execution
    results.
    • Worked in a containerized environment using Docker to ensure
    reproducibility of test executions.
    • Improved testing efficiency by reducing manual validation processes.
    Docker Python API Développement Back-End Automation & Scripting
  • Gendarmerie Nationale
    AI Research Intern
    DEFENSE AND MILITARY
    May 2024 - June 2025 (1 year and 1 month)
    Puteaux, France
    Worked on evaluating and comparing Large Language Models (LLMs) and
    Vision-Language Models (VLMs) in a controlled environment.

    • Designed experiments to benchmark multiple AI models locally.
    • Evaluated model performance based on accuracy and reliability for question
    generation tasks.
    • Built automated pipelines to generate multiple-choice questionnaires using
    LLMs.
    • Compared different architectures to identify the most suitable models for real-world use cases.
    • Worked with Python-based AI tooling and local model deployment setups.
    Développement Back-End Python Systems Development Retrieval-Augmented Generation (RAG)

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Education

  • BACHELOR OF SCIENCE IN COMPUTING
    Griffith College Dublin
    2026
  • Software engineer
    Epita

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