Description

MSc student in Artificial Intelligence (University of Liège) with a Computer Science background and hands-on experience building and deploying machine learning systems.

I've worked on end-to-end ML projects including a churn prediction system trained with Gradient Boosting, deployed via Flask on Google Cloud Run with automated retraining pipelines and CI/CD. I'm comfortable across the full stack, from data preprocessing and model training to API development and cloud deployment.

Languages

Arabic
Native or bilingual
English
Conversational
French
Fluent

Workplace preferences

Remote only

Primarily works remotely

University of liege
Junior ML engineer
DIGITAL AND IT
February 2026 - April 2026 (2 months)
Liège, Belgium
Developed a bank customer churn prediction system as part of an academic ML engineering project. Built and trained a Gradient Boosting Classifier on structured customer data, deployed via a Flask REST API on Google Cloud Run. Implemented automated retraining pipelines with Vertex AI, artifact storage on GCS, and data warehousing in BigQuery. Set up CI/CD with GitHub Actions including automated testing (pytest) and linting (ruff).