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Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

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imaddde867/README.md

Imad Eddine El Mouss

Research Engineer at CoRe, Turku University of Applied Sciences · Turku, Finland
B.Eng. Data Engineering & Artificial Intelligence (TUAS, 2025) · Thesis: Industrial Procedural Knowledge Extraction

What I Build

Large language model pipelines · Knowledge graph systems · Real-time ML infrastructure

Stack: Python · PyTorch/TensorFlow · Docker · FastAPI · Neo4j · AWS

Links

imadlab.com – Portfolio & case studies
SisuSpeak – AI-powered Finnish language tutor (live)
IPKE Thesis – Procedural knowledge extraction for Industry 5.0

Connect

LinkedIn   Portfolio   Hugging Face   Email

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  1. IPKE IPKE Public

    Extract Procedural Knowledge Graphs (ordered steps + typed constraints) from safety-critical industrial documents using local LLMs. Includes DSC chunking, two-stage prompting, and a source-grounded…

    Python 5

  2. FL-Attack FL-Attack Public

    Security in Federated Learning: Gradient Inversion, Ablations, and Defenses

    Python 3 1

  3. Multi-view-object-detection Multi-view-object-detection Public

    Multi-camera pipeline for auto-labeling, training, and running YOLO-based object detection and tracking at scale.

    Python 3

  4. mellum-mlx mellum-mlx Public

    Mellum2.1 Thinking for Apple Silicon: NVFP4 and 6-bit MLX builds, benchmarked on the full HumanEval+ and a 16 GB M4 MacBook Pro.

    Python 3

  5. jev-position-test jev-position-test Public

    Reorder the enum options: a Jev clone changes its answer, Jev doesn't. n=6, raw data included.

    Python 3

  6. whatisit-macos whatisit-macos Public

    A lightweight macOS command assistant focused on accuracy and documented commands.

    Jupyter Notebook 1