Ziyed Hammadi

Context: Development of a Single Page Application (SPA) deployed on AWS, integrating a genetic algorithm-based AI to automatically generate optimized layouts for water treatment engineers.

Responsibilities:

Participation in functional and technical scoping workshops, focusing on user journeys, workflow design, and requirement analysis.

Involvement in backlog prioritization and feature estimation, defining the MVP based on workload and risk assessments.

Contribution to architecture workshops, defining a cloud-native infrastructure comprising S3 and CloudFront for SPA hosting, API Gateway and Lambda for serverless APIs, Cognito User Pool for SSO and user management, and ECS Fargate and AWS Batch for backend AI processing.

Planning of integration with Veolia’s standardized GitLab CI/CD toolchain, leveraging existing automation templates to streamline deployment processes and enhance operational efficiency.

As part of the team responsible for deploying and maintaining Engie’s web applications and external platforms, I provided support to integrators by handling various requests through a ticketing system.

I worked with Docker, Rancher, Jenkins, NGINX, AWS (EC2, S3, CloudFront, Cognito), and Terraform to ensure smooth deployments and infrastructure management. Additionally, I designed and implemented an ELK-based logging solution to monitor application logs and make it accessible to integrators.