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Nesrine Ben HassineNB

Nesrine Ben Hassine

AI Lead

EUR 700/Tag
Paris, FR
8-15 Jahre

Durchschnittliche Reaktionszeit: 1h

Über 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.
  • Französisch

    Muttersprachlich oder zweisprachig

  • Englisch

    Verhandlungssicher

Vor Ort möglich
Paris (bis zu 50 km)

Projekt- und Berufserfahrung

  • DEEP AI
    Founder
    DIGITALAGENTUREN & IT-CONSULTING
    Oktober 2022 - Heute (3 Jahre und 8 Monate)
    Paris, Frankreich
    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
    Juli 2023 - August 2025 (2 Jahre und 1 Monat)
    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
    Oktober 2022 - Februar 2023 (4 Monate)
    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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Ausbildung und Abschlüsse

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

Fähigkeiten

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