Summary
Rabii Elbeji is a software engineer with 8 years’ experience building cloud-native, DevOps-driven systems and production ML features across finance and document management domains. He has shipped Dockerized platforms, CI/CD pipelines, Terraform IaC and Kubernetes/AKS deployments while integrating security scanning (Veracode, Checkmarx, BlackDuck) and observability stacks like ELK, Prometheus and Grafana. Rabii pairs hands-on backend work in Python, PL/SQL and Java/C++ with ML experiments—having prototyped settlement-failure prediction models (Scikit‑Learn, XGBoost) and OCR/NLP pipelines for document classification and extraction. He holds engineering and PhD-level studies in IT, and uniquely blends research experience with practical automation: for example, he led PoCs that moved legacy RIMS components to a cloud-native architecture and implemented blockchain-based document tracking concepts. Based in Tunisia, he consistently focuses on reproducible, monitored deployments and clear documentation to accelerate team delivery.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Information technology (STIC), Doctor of Philosophy - PhD Information technology (STIC) at Ecole Nationale d'Ingénieurs de Tunis
Preparatory studies for Engineering Studies Mathematics Physics, Preparatory studies for Engineering Studies Mathematics Physics at ISSAT Mahdia
Bachlor Degree Experimental Sciences, Bachlor Degree Experimental Sciences at Zeramdine High School
Engineering degree Networks and Communications, Engineering degree Networks and Communications at National Engineering School of Gabes
French, English