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matteomedioli/README.md

Hi there, I'm Matteo 👋

follow Linkedin: guillem

Machine Learning Engineer focused on NLP and Applied AI. At Neo4j, I work on combining large language models with graph technology. Experienced across the ML lifecycle, with a focus on LLMs, MLOps and backend development for data pipelines and large-scale processing. My toolkit includes Python, C++, C#, SQL, Docker, Kubernetes, and GCP. Outside of work, I enjoy snowboarding, climbing and playing drums.

Languages and Tools:

python tensorflow tensorflow linux pytorch tensorflow tensorflow tensorflow pytorch

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  1. BERT-KG BERT-KG Public

    Enriching Language Models Representations via Knowledge Graphs Regularisation

    Python 2 1

  2. AndroidObjectDetection AndroidObjectDetection Public

    Real time object detection Android application using OpenCV 4.1 and YOLOv3.

    Java 43 16

  3. language-classifier language-classifier Public

    Language Classifier with Pytorch, Flask and Docker

    Python

  4. MAMaLGaM-Bias-Variance MAMaLGaM-Bias-Variance Public

    Forked from scmaree/uncrowded-hypervolume

    Improvement of the MAMaLGam algorithm for the multi-objective Bias-Variance Tradeoff task

    C++

  5. EntropyBasedReccomenderSystem EntropyBasedReccomenderSystem Public

    Recommender System implementation based on collaborative filtering approach using information entropy similarity measure.

    Python

  6. BSP-Pattern BSP-Pattern Public

    Bulk Synchronous Parallel (BSP) - parallel pattern implementation

    C++ 1