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Badreddine El FarkhBE

Badreddine El Farkh

Junior Data Scientist

€300/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Badreddine

Data Scientist and AI Engineer, I combine Machine Learning expertise with hands-on experience in generative AI and Computer Vision. A graduate of Université Paris Cité, I am seeking a full-time, fixed-term, or freelance position where I can contribute to ambitious AI projects. Strong in Machine Learning, Deep Learning, and data processing, I place great importance on experimental rigor, model optimization, and code quality. Curious and autonomous, I enjoy transforming complex ideas into deployable and useful solutions.
  • French

    Native or bilingual

  • English

    Native or bilingual

  • German

    Conversational

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

Experience

  • Konfiwear
    AI Engineer
    October 2025 - January 2026 (3 months)
    Development of a complete system for automatic extraction of 2D architectural plans into interactive 3D models.

    — Design and implementation of a semantic segmentation pipeline using CubiCasa5k for contextual interpretation of architectural elements (walls, doors, windows)

    — Development of post-processing algorithms for rectification, merging, and connection of wall segments

    — Full-stack integration of a Python/PyTorch API with a React/Next.js, Redux, and Three.js frontend for real-time 3D visualization

    — Deployment of a robust solution handling complex architectural challenges (continuous walls with windows, precise door orientations, coherent coordinate system)
    Deep Learning Computer Vision Pytorch
  • AEDISIO
    Generative Artificial Intelligence Engineer
    March 2025 - September 2025 (6 months)
    Créteil, France
    Participation in the development of generative AI solutions, with a focus on integrating Large Language Models (LLMs) into intelligent systems.

    — Design and implementation of hybrid RAG pipelines combining SQL and VectorDB

    — Integration of open-source LLMs and embeddings in a production environment

    — Utilization of tools like LangGraph, ChromaDB, Defog/sqlcoder, and Ollama to create specialized conversational agents for the AEC (Architecture, Engineering, Construction) sector

    — Collaboration with product and data teams to build an expert AI capable of interpreting IFC files and interacting with a MySQL database
    LLM SQL Retrieval-Augmented Generation (RAG) Vector Embeddings Generative AI
  • KONFIGEAR SP
    Computer Vision Engineer
    March 2024 - September 2024 (6 months)
    Gijón, Spain
    3D reconstruction of historical monuments from a drone image dataset.

    - Design of a 3D reconstruction pipeline from aerial images captured by drone.

    - Dataset preprocessing: sorting, cleaning, resizing, and correcting images.

    - Extraction and matching of characteristic points between images (feature matching).

    - Generation of a 3D point cloud.

    - Point cloud densification and creation of a textured 3D mesh of the monument.

    - Evaluation of reconstruction quality and optimization of pipeline parameters.

    - Use of computer vision and photogrammetry tools and libraries.
    Computer Vision

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Education

  • Master of Computer Science: Machine Learning for Data Science
    Université Paris Cité
    2025

Skill set

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