Ismail Lbazri

Ismail Lbazri

Data Science Intern

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location of Ismail LbazriLille, Hauts-de-France, France

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  • Timeline

  • About me

    Machine Learning & Computer vision R&D engineer @Buawei

  • Education

    • Lycée Ibn yassine

      2015 - 2018
      Baccalauréat sciences mathématiques -A option française mention bien
    • Ecole Nationale des Sciences Appliquées de Khouribga

      2020 - 2024
      Diplôme d'ingénieur informatique et ingénierie de données
    • Ecole d'Ingénieurs du Littoral - Côte d'Opale

      2022 - 2024
      Diplôme d'ingénieur Computer Science
    • Ecole Nationale des Sciences Appliquées de Khouribga

      2018 - 2019
      Classes préparatoires intégrées
  • Experience

    • OCTO Technology

      Jul 2022 - Sept 2022
      Data Science Intern

      Mise en place d'un modèle d'apprentissage profond pour la détection et calibrage de fraicheur des fruits aux supermarchés .

    • Laboratoire d'Informatique Signal et Image de la Côte d'Opale

      Apr 2023 - Aug 2023
      Data Science Intern
    • BUAWEI

      Sept 2023 - now

      Key Responsibilities:- Responsible for the maintenance and evolution of machine learning models in production for one of the company’s largest projects.- Handle both corrective and evolutionary updates to ensure optimal model performance, precision, and scalability.- Lead the integration of new, high-precision models that replace older versions, improving overall system efficiency and performance.- Collaborate with cross-functional teams to ensure seamless deployment, monitoring, and continuous improvement of models in production, meeting client-specific needs and expectations.Technologies & Tools:- Generative AI: Models for synthetic data generation based on GenAI- Languages & Frameworks: Python, PyTorch- Computer Vision: OpenCV- Deployment & Automation: Docker, DVC, Hydra- Version Control & Collaboration: Git, GitLab- Methodologies: Agile, MLOps, and collaborative workflows Show less Key Responsibilities:- Led the generation of synthetic data and enhancement of industrial datasets using Generative AI (GenAI) approaches.- Optimized and maintained machine learning models in production, integrating new models that replaced older ones, significantly improving precision and performance.- Ensured the robustness and scalability of models, collaborating with cross-functional teams for efficient model deployment and continuous integration.Technologies & Tools:- Generative AI: Developed synthetic data generation models based on GenAI- Languages & Frameworks: Python, PyTorch- Computer Vision: OpenCV- Deployment & Automation: Docker, DVC, Hydra- Version Control & Collaboration: Git, GitLab- Methodologies: Agile, MLOps, and collaborative workflows Show less

      • Ingénieur R&D Machine learning & Computer vision

        Sept 2024 - now
      • Alternant R&D Machine learning & Computer vision

        Sept 2023 - Sept 2024
  • Licenses & Certifications

    • Talend Data integration Certification Preparation Training

      Talend
      Jan 2022
      View certificate certificate
    • TOEIC (925/990)

      The TOEIC Program
      Jan 2023
  • Volunteer Experience

    • Membre de l’équipe de gestion

      Issued by Open Source Days 11.0 on May 2022
      Open Source Days 11.0Associated with Ismail Lbazri
    • Présentateur

      Issued by Open Source Days 10.0 on May 2022
      Open Source Days 10.0Associated with Ismail Lbazri