soulaimen hammami

Cloud Architecture and Migration • Designed and automated a scalable multi‑cloud infrastructure with Terraform to support high‑availability AI work‑ loads. • Led the multi‑region migration (EU and US) in GDPR compliance, ensuring service continuity. • Industrialized CI/CD pipelines with GitHub Actions and ArgoCD, reducing deployment time by 40%. • Conducted load tests up to 1000 RPM to validate resilience and scaling. Application Infrastructure Modernization • Deployed Kubernetes architecture on Azure AKS via Terraform and Ansible. • Refactored a monolith into modular microservices for better maintainability. • Integrated Vault for centralized secrets management and automated rotation, ensuring ISO and GDPR compli‑ ance. • Implemented Vault policies to strengthen access control to critical resources. • Enhanced observability with Prometheus, Grafana, Loki, and CloudWatch. • Deployed SonarQube as a cross‑cutting quality control tool for all CI/CD pipelines. Cost Optimization and AI Infrastructure • Redesigned the AI architecture (DeepCache, CPU/GPU offload) to cut cloud costs from $150,000 to $25,000/month. • Migrated AI workloads to Nebius GPU clusters under Kubernetes. MLOps Deployment • Deployed packaged AI models at scale for multiple clients. • Developed a dynamic autoscaler in Python to optimize resource allocation. • Supervised incident resolution, automated alerting, and ensured post‑release monitoring. • Wrote technical documentation and trained the ML team on MLOps best practices. Collaboration and Governance • Shared DevOps best practices within the team to improve efficiency and deliverable quality. • Contributed to daily coordination between dev and ML teams to streamline delivery cycles. • Drafted and implemented internal guidelines to standardize CI/CD workflows and ease onboarding. Key Technologies: AWS, Azure, Nebius, Kubernetes, Terraform, Ansible, Vault, ArgoCD, GitHub Actions, Prometheus, Grafana, Loki, DeepCache, FastAPI, Python, Bash, SonarQube

Project: Geosapiens (Risk Modeling) • Designed and automated a serverless infrastructure on AWS (Lambda, ECS Fargate, S3) via Terraform. • Implemented AWS WAF to block SQL injections, XSS, and DDoS attacks. • Integrated Vault to manage external API secrets while complying with GDPR standards. • Deployed CI/CD pipelines with AWS CodePipeline and GitLab CI to automate deliveries. Project: Stile (FashionTech) • Deployed ETL pipelines and ML models (YOLO, CLIP) via FastAPI on AWS EKS. • Automated provisioning with Ansible, cutting processing time by half. • Integrated Vault for secure API key management for microservices. • Implemented standardized CI/CD under GitLab to improve deployment quality. Project: ScaleX (EdTech) • Designed a scalable serverless backend (ECS, Aurora Serverless, CloudFront, S3) for 20,000 users. • Migrated CI/CD pipelines to GitLab CI with SonarQube quality control. • Strengthened credential security and automatic rotation via Vault. • Reduced infrastructure costs by 40% while improving reliability. Key Technologies: AWS (EKS, ECS, Lambda, Aurora, S3), Terraform, GitHub Actions, GitLab CI, AWS CodePipeline, Vault, Docker, Ansible, FastAPI, Prometheus, Loki, Grafana, SonarQube, PostgreSQL, Redis