À propos de Abdelkader
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.
Arabe
Bilingue ou natif
Anglais
Capacité professionnelle limitée
Français
Capacité professionnelle complète
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- University of liegeJunior ML engineerAGENCE & SSIIfévrier 2026 - avril 2026 (2 mois)Liège, BelgiqueDeveloped 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).
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