mohamed amine azouzi

AI Engineer | NLP & Computer Vision

Salaire / Taux journalier

Sousse, Tunisie

Freelance, ouvert au CDI

Peut venir sur site

Expertises

PythonPostgreSQLTensorFlowGoogle Cloud PlatformKerasFlaskPower BIGitGitLabNumPypandasAzurescikit-learnPyTorchDjangoMongoDBn8nMySQLPostman

Langues

ArabeAnglaisFrançais

À propos

Introduction

AI/ML Engineer with 2+ years specializing in computer vision, NLP, and deep learning solutions. Delivered real-time localization systems with 90% accuracy and automated financial data extraction using advanced ML algorithms. Expert in Python, cloud deployment, and MLOps ready to transform your data into intelligent solutions.

Liens

Expérience de travail

AI Engineer

MEDIWAVE Tunisie

juil. 2025 - Présent

1 an 4 mois

Sousse, Tunisie

Artificial Intelligence Engineer Intern

ST2i

févr. 2025 - juil. 2025

6 mois

Tunis, Tunisie

Développer et optimiser des solutions intégrées basées sur l’intelligence artificielle. Mettre en œuvre des algorithmes de prédiction pour l’optimisation des risques et des coûts. Améliorer la gestion des ressources des projets grâce à des solutions IA adaptées. Garantir la précision et la fiabilité des prédictions dans le cadre d’une amélioration continue des projets.

Machine Learning (computervision) Intern

AVIONAV

janv. 2024 - mars 2025

1 an 3 mois

Soliman, Tunisie

In my second internship, I worked on a computer vision project to achieve Real-Time localization using images, without relying on GPS. I applied deep learning techniques and utilized SuperGlue and SuperPoint algorithms to process a personalized collected database of images and finally the model was implemented in ROS package. Through this project, I achieved an impressive accuracy of 0.9. This experience deepened my expertise in computer vision and deep learning, showcasing my ability to handle complex datasets and develop high-accuracy models.

Machine Learning Intern

Euro Tech Conseil

juin 2023 - oct. 2023

5 mois

Kairouan, Tunisie

During my first professional internship, I focused on the automatic extraction of data from PDF bank statements. Over three months, I developed and implemented machine learning and deep learning algorithms to accurately capture and categorize transaction data such as debits, credits, and balances. This project enhanced my technical skills in data extraction and processing, as well as my understanding of financial data structures and the importance of precision in financial documentation.


Formation

EPI - International Multidisciplinary School

Ingénieur data science

2022 - 2025

4 ans

Le meilleur endroit pour trouver votre prochaine opportunité

© 2026. Tous droits réservés.