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Nesrine Ben HassineNB

Nesrine Ben Hassine

AI Lead

700 €/jour
Paris, FR
8-15 ans

Délai de réponse moyen : 1h

À propos de Nesrine

Proven leader in AI in international environments with 10+ years of experience driving innovation across academic, industrial, and enterprise domains. Strong track record in delivering cutting-edge AI systems and decision-making.
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

Accepte de travailler sur site
Paris (jusqu’à 50 km)

Expériences

  • DEEP AI
    Founder
    AGENCE & SSII
    octobre 2022 - Aujourd'hui (3 ans et 8 mois)
    Paris, France
    Scientific and technical expert approved by the MESR (Ministère de l’Enseignement supérieur et de la Recherche Scientifique Français) to carry out R&D work on behalf of companies.
    Gestion de projet Data science Python
  • University of Florida,
    AI Research Lead
    juillet 2023 - août 2025 (2 ans et 1 mois)
    United States
    • Lead deep learning research on image domain translation, optical flow, multi-view object detection and association, anomaly detection, segmentation, depth estimation, 3D reconstruction.
    • Managed and mentored 4 PhD students.
    • Drafted federally funded AI research proposals (USDA, NSF), ensuring alignment between research goals and funding priorities..
    • Optimized multi-GPU training pipelines on HiPerGator HPC. Tools & Technologies: Python, VScode, Hipergator (HPC cluster), Pytorch, MLflow, Tensorboard, Basecamp, Trello, Git
  • LVMH,
    AI Consultant
    octobre 2022 - février 2023 (4 mois)
    France
    • Conducted a comprehensive review at the intersection of chemical engineering and machine learning.
    • Preprocessed and enriched data collected from formulation records by including external data collection through advanced data scraping pipelines.
    • Built AI-based perfume formulation PoC using RF, AdaBoost, and GNNs with enriched chemical data pipelines.
    • Improved ingredient classification performance by 28%; led integration between data and domain experts. Tools & Technologies: Linux, Python, Numpy, Pandas, RF, Adaboost, GNN, data scraping

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Formations

  • PhD
    University of Paris Saclay
    2017
    PhD
  • Systems, MSc
    National College for Computer Science
    2012
    Systems, MSc

Compétences

Catégories