Ramzi Trabelsi

Working on private cloud platforms in a high-demand environment with strong requirements in security, scalability and high availability. • Development of high-traffic backend APIs in Python (Flask / OpenAPI), with strong focus on performance and reliability • Implementation of IAM mechanisms (OAuth2, ForgeRock, LDAP) for securing critical services • Design of distributed and highly available cloud architectures (multi-AZ, load balancing, TLS) • CI/CD pipelines (Jenkins, GitHub Actions) to automate build, testing and deployment processes • Infrastructure as Code using Terraform for scalable and reproducible environments • Automation of configuration and deployments with Ansible • Observability setup (ELK stack, Kibana) for monitoring and troubleshooting in production

Delivered data-driven and backend solutions for international clients across insurance, data analytics and e-commerce sectors. • End-to-end delivery of technical projects: requirements analysis, design, development and production deployment • Development of backend services and REST APIs in Python (Flask, FastAPI) with strong focus on performance and maintainability • Design of data pipelines and large-scale data processing solutions • Advanced web scraping systems (BeautifulSoup, Selenium, Playwright) with handling of anti-bot constraints and high-volume data • Integration with external APIs and SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB) • Containerization of applications with Docker and orchestration with Kubernetes • Deployment and operations on cloud platforms (AWS, GCP, DigitalOcean), ensuring scalability and reliability • Continuous improvement and maintenance of production systems

Worked on simulation and validation of crash test models for automotive safety analysis. • Modeling and simulation of crash test dummies (CAE) to evaluate vehicle safety performance • Validation of simulation results under different impact scenarios (frontal, lateral, etc.) • Testing and validation of new features in the PAM-CRASH software • Development of Python and Shell scripts to automate regression testing and reporting • Optimization of testing workflows to improve efficiency and reliability • Creation of technical documentation and training of internal teams and clients (including Renault and Volkswagen)