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Kilian MeddasKM

Kilian Meddas

Full-Stack Developer (React / FastAPI)

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

Average response time: 1 hour

Freelancer profile translated to English.
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About Kilian

I am a Full-Stack Developer specializing in React and FastAPI, with a strong appetite for creating high-performing, scalable, and well-structured web applications.

I work on both the frontend and backend, with a product-oriented approach: clean interfaces, robust APIs, and clean architecture. I regularly use Docker to facilitate deployment and reproducibility of environments.

In parallel, I develop projects around artificial intelligence and machine learning, which gives me a more complete vision of modern systems.

I am comfortable with projects involving:

  • full-stack web application development
  • creation and integration of REST APIs
  • implementation of backend architectures
  • containerization and deployment with Docker

I work remotely and am rigorous about code quality, communication, and meeting deadlines.

  • 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 Back-End Development 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.
    Back-End Development 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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