Khalil Bouazizi

Looyas · Final internship — end-of-studies project · Tunisia

• Designed and built a Unified Migration & Deployment Engine automating workload migration across GCP and OCI, handling 5–20 Kubernetes namespaces and 20–50 object storage buckets per run
• Orchestrated Kubernetes workload migration (GKE, OKE) with Velero for backup and restore strategies
• Automated object storage synchronization using rclone and cloud CLIs across GCP and OCI
• Implemented rollback strategies and validation pipelines to ensure safe, repeatable migrations
• Authored infrastructure-as-code with Terraform for cloud-agnostic deployments

• 2clouds bridged by one engine (GCP → OCI)
• ~85%less hands-on effort per migration run
• 0unvalidated cutovers — every run rollback-gated

TechnologiesTerraform, GCP (GKE, GCS), OCI (OKE, Object Storage), Velero, rclone, Bash, Python

ESPRIT · Tunisia

• Designed and implemented a multi-cloud infrastructure across AWS, Azure, and DigitalOcean using Terraform, integrated with GitLab CI/CD
• Deployed a secure PostgreSQL RDS database via a Bastion Host, with Terraform state managed securely on Amazon S3
• Automated Kubernetes cluster management with Ansible, including auto-scaling (HPA/VPA) and self-healing
• Configured centralized monitoring and logging with Prometheus, Loki, and Promtail; standardized deployments with Helm charts
• Trained an AI model to recommend optimal cluster configurations per application, improving resource utilization by at least 10%

• 3clouds provisioned from a single Terraform codebase
• ~1 day → ~15 minto provision a full environment
• +10%resource utilization from AI-tuned cluster sizing

TechnologiesDocker, Kubernetes, Helm, Ansible, Terraform, GitLab CI/CD, AWS (IAM, EC2, RDS, S3, VPC), Azure, DigitalOcean, Prometheus, Loki, Promtail, Python, Scikit-learn

Insomea Computer Solutions · Tunisia

• Developed a Flask web application automating Excel/CSV to SQL conversion
• Containerized the application with Docker and deployed it on Microsoft Azure
• Built a complete CI/CD pipeline with Jenkins, integrating SonarQube for code quality and Trivy for security scanning
• Optimized CI/CD workflows, reducing deployment time by 30% and improving delivery reliability

• −30%deployment time (~20 min → ~14 min)
• 2automated gates in every build (SonarQube, Trivy)
• 100%of Excel/CSV → SQL conversion automated

TechnologiesFlask, Docker, Microsoft Azure, Jenkins, GitHub, SonarQube, Trivy