Rapanarivo Nomena Tafitasoa

At Promethek , I run Interactive - Workshops: Hands-on sessions on Python and Artificial Intelligence, designed to make these technologies accessible and understandable. - Tech strategy consulting: Tailor-made strategies to maximize the impact of your projects in the technology ecosystem. - Popularizing AI: Resources and training to demystify Artificial Intelligence and integrate its concepts into your project.

As a DevOps engineer for the Health Supplies Management project, I serve as both a backend developer and platform integrator. Leveraging technologies such as Django and React for seamless backend and frontend integration, I orchestrate deployment and scaling using Docker, Jenkins, AWS Cloud, Kubernetes (specifically EKS), and Terraform. Additionally, I implement robust monitoring through Prometheus to ensure the platform's stability and performance. Technology used : Django , React , Docker , Jenkins, AWS CLOUD , Kubernetes , EKS , Terraform , Prometheus

Internship, During my internship, I spearheaded the implementation of a robust CI/CD pipeline and orchestrated the deployment of the Ecommerce ProShop application on a Kubernetes cluster. Leveraging technologies such as AWS , EC2, Kubernetes, Gitlab CI, Terraform, Prometheus, and Terraform, I optimized infrastructure for seamless production, ensuring a streamlined and efficient development process. Technologies used: AWS , EC2 , Kubernetes, Gitlab Ci, Terrafrom , Prometheus

Internship, During my internship, I spearheaded the implementation of a robust CI/CD pipeline and orchestrated the deployment of the Finger-print application on a Kubernetes cluster. Leveraging technologies such as GCP, Google VM, Kubernetes, Gitlab CI, Terraform, Prometheus, and Terraform, I optimized infrastructure for seamless production, ensuring a streamlined and efficient development process. Technologies used: GCP, Google VM , Kubernetes , Gitlab CI , Terraform , Prometheus , Terraform

Internship, During my internship, I established a streamlined CI/CD pipeline leveraging AWS services, specifically EC2 instances and Kubernetes orchestration. Utilizing Gitlab CI, I successfully deployed the Finger-print application into production, ensuring efficient and automated delivery processes. Technologies used : AWS, EC2, Gitlab Ci, Kubernetes

Internship, In my internship, I spearheaded the deployment of a student checkpointing management platform using Kubernetes on a local server. The tech stack comprised Kubernetes for orchestration, Docker for containerization, Postgresql for the database, Django for backend development, Angular for the frontend, and Docker Hub for image storage. This comprehensive setup allowed for efficient platform management and seamless collaboration between the different technologies. Technologies used : Kubernetes, Docker,Postgresql, Django , Angular , Docker Hub , Prometheus

Mise en place d'un solution propriétaires de sécurisation sur le parcs informatiques de la SEMS MAHAJANGA

Internship, During my internship at ENI, I served as a BackEnd Django developer for the implementation of a student checkpointing management system. The project involved utilizing technologies such as Django for the backend, React for the frontend, PostGreSQL for the database, and JupiterLab for collaborative work. Technologies used : Django , React, PostGreSQL, jupiterLab