Available to hire
I am an Artificial Intelligence Engineer and Data Scientist with hands-on experience building end-to-end machine learning solutions. I enjoy transforming complex data into practical insights, from designing ETL pipelines and training predictive models to deploying reliable APIs and production-ready AI systems. My experience spans healthcare, enterprise software, energy consumption, computer vision, and radar-based motion analysis.
I am especially interested in creating scalable and explainable AI applications that solve real-world problems. I work comfortably with Python, SQL, PostgreSQL, machine learning, deep learning, data versioning, model interpretation, and LLM-based text analysis. I am a curious and collaborative professional who enjoys learning new technologies and turning innovative ideas into useful products.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Advanced
Work Experience
Scientist, Associate Development at Infor
January 1, 2026 - PresentMaintained AI-driven recommender systems within the Infor OS enterprise platform ecosystem. Built and maintained Python and PostgreSQL data pipelines for product and transactional data, and developed workflows for data ingestion, model training, and deployment of production-ready endpoints. Worked with Infor OS and Tableau to understand data flows, integrations, and product recommendation processes.
Data Scientist at Presicia Care
August 1, 2024 - January 1, 2026Developed AI-driven HealthTech solutions for clinical data analysis and predictive modeling. Designed automated ETL pipelines, performed exploratory data analysis, optimized clinical outcome prediction models, and applied hyperparameter tuning and SHAP interpretability. Implemented testing and validation with Pytest and Pydantic, managed datasets and experiments with DVC, deployed FastAPI REST endpoints, and used large language models to extract structured insights from medical notes.
End-of-Study Project Researcher at ACTIA Engineering Services
February 1, 2024 - June 1, 2024Developed a pedestrian motion behavior detection system using 4D mmWave radar and point-cloud data. Constructed a dataset across multiple scenarios, performed point-cloud preprocessing, clustering, and tracking using DBSCAN and the Hungarian Algorithm, and developed machine learning and PointGNN deep learning models for human motion classification.
End-of-Study Project at ACTIA Engineering Services
February 1, 2024 - June 1, 2024Developed a pedestrian motion behavior detection system using 4D mmWave radar and point-cloud data. Constructed datasets across multiple scenarios, performed clustering and tracking with DBSCAN and the Hungarian algorithm, and developed machine learning and PointGNN deep learning models for human motion classification.
Machine Learning Intern at SFM Technologies
July 1, 2023 - August 1, 2023Developed a machine learning solution to compare energy consumption patterns for private universities. Implemented real-time alerts for abnormal or excessive consumption and estimated individual student costs based on usage patterns using Random Forest and Isolation Forest techniques.
Intern at SFM Technologies
July 1, 2023 - August 1, 2023Developed a machine learning solution for comparing energy consumption patterns in private universities. Implemented real-time alerts for abnormal or excessive consumption and estimated individual student costs based on usage patterns using Random Forest and Isolation Forest methods.
Machine Learning Project Researcher
January 1, 2023 - June 1, 2023Developed an air pollution estimation system from urban webcam images. Built image preprocessing pipelines, engineered multi-scale pollution indicators, implemented AdaBoost and Random Forest ensemble baselines, and developed a CNN model for spatial feature learning.
Education
National Engineering Degree in Information and Communication Technology at Higher School of Communication of Tunis (SUP’COM), University of Carthage
January 1, 2021 - January 1, 2024Preparatory Cycle in Physics-Chemistry at Preparatory Institute for Engineering Studies of Nabeul (IPEIN), University of Carthage
January 1, 2019 - January 1, 2021Baccalaureate at High School Ali Hosari Kef
January 1, 2015 - January 1, 2019National Engineering Degree in Information and Communication Technology at Higher School of Communication of Tunis (SUP’COM), University of Carthage
January 1, 2021 - January 1, 2024Preparatory Cycle in Physics-Chemistry at Preparatory Institute for Engineering Studies of Nabeul (IPEIN), University of Carthage
January 1, 2019 - January 1, 2021Baccalaureate at High School Ali Hosari Kef
January 1, 2015 - January 1, 2019Qualifications
TOEIC English Certification, Score 830
January 11, 2030 - September 18, 2026Cisco CCNA-1 Certification
January 11, 2030 - September 18, 2026TOEIC Certificate, Score 830
January 11, 2030 - September 18, 2026Cisco CCNA-1 Certification
January 11, 2030 - September 18, 2026Coursera Machine Learning and Deep Learning Coursework
January 11, 2030 - September 18, 2026DataCamp Machine Learning and Deep Learning Coursework
January 11, 2030 - September 18, 2026Industry Experience
Healthcare, Software & Internet, Computers & Electronics, Energy & Utilities, Education, Life Sciences, Transportation & Logistics
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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