I am Moussaab Sbai, a passionate AI & Data Science engineer based in Avignon, France. I focus on Federated Learning, GenAI, and data-driven decision making, with hands-on experience in NLP, computer vision, and ML research. I am currently pursuing a PhD at Laboratoire Informatique d'Avignon (LIA), Avignon Université, where I work on learning from heterogeneous and sensitive data, with emphasis on fairness and personalization in federated settings. I enjoy turning complex data problems into practical AI solutions, building robust pipelines, and collaborating with cross-functional teams to deliver impactful results. My work spans research projects like federated and lifelong learning, plus industry internships leveraging LLMs and semi-supervised methods to analyze emotions and species recognition.

Moussaab SBAI

I am Moussaab Sbai, a passionate AI & Data Science engineer based in Avignon, France. I focus on Federated Learning, GenAI, and data-driven decision making, with hands-on experience in NLP, computer vision, and ML research. I am currently pursuing a PhD at Laboratoire Informatique d'Avignon (LIA), Avignon Université, where I work on learning from heterogeneous and sensitive data, with emphasis on fairness and personalization in federated settings. I enjoy turning complex data problems into practical AI solutions, building robust pipelines, and collaborating with cross-functional teams to deliver impactful results. My work spans research projects like federated and lifelong learning, plus industry internships leveraging LLMs and semi-supervised methods to analyze emotions and species recognition.

Available to hire

I am Moussaab Sbai, a passionate AI & Data Science engineer based in Avignon, France. I focus on Federated Learning, GenAI, and data-driven decision making, with hands-on experience in NLP, computer vision, and ML research. I am currently pursuing a PhD at Laboratoire Informatique d’Avignon (LIA), Avignon Université, where I work on learning from heterogeneous and sensitive data, with emphasis on fairness and personalization in federated settings.

I enjoy turning complex data problems into practical AI solutions, building robust pipelines, and collaborating with cross-functional teams to deliver impactful results. My work spans research projects like federated and lifelong learning, plus industry internships leveraging LLMs and semi-supervised methods to analyze emotions and species recognition.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

Doctorant en informatique - Intelligence artificielle at Laboratoire Informatique d'Avignon (LIA), Avignon Université, France
November 1, 2023 - November 6, 2025
Projet: Apprentissage fédéré pour des données hétérogènes et sensibles. Sujet: Équité et personnalisation de l’apprentissage fédéré pour les données hétérogènes. Mots clés: Federated Learning, Statistiques, Decentralized Learning, Clustering models, Graph theory. Activités: recherche et expérimentation sur des cadres d’apprentissage fédéré, analyses statistiques, et collaboration avec l’équipe LIA sur des problématiques de confidentialité et d’équité.
Stage de fin d’études - Analyse des émotions NLP at AevaWeb, Maroc
July 31, 2023 - July 31, 2023
Réalisation d'un système d'analyse des émotions NLP basé sur le concept Lifelong Machine Learning (LML) et l’apprentissage semi-supervisé, augmenté par un LLM. Outils: Python, TensorFlow, Keras, Numpy, Scrapy, Selenium, Bert, Bi-LSTM, GenAI, Llama, Jupyter.
Stage - Reconnaissance des espèces de poisson at Angstrom, Maroc
August 31, 2022 - August 31, 2022
Réalisation d'un modèle de reconnaissance des espèces de poisson intégré dans une balance intelligente. Outils: Python, TensorFlow, Keras, Numpy, OpenCV, Jupyter, CNN, ResNet, Transfer Learning.
Stage - Analyse des données de la recherche scientifique (UMP) at Équipe RAISS à l'INPT, Maroc
August 31, 2021 - August 31, 2021
Analyse des données de la recherche scientifique de l’Université Mohammed Premier (UMP) : Tendances et modèles de collaboration.

Education

Ingénieur en Data Science et Cloud Computing at ENSAO - École Nationale des Sciences Appliquées Oujda
January 1, 2018 - January 1, 2023

Qualifications

Baccalauréat Sciences Physique - Français
January 1, 2018 - January 1, 2018

Industry Experience

Software & Internet, Education, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more