- Implemented a CI/CD pipeline for automating the deployment and integration of the projects that are being worked on at Smart eTech.- Prepared and co-lead a training session for a Japanese tech company based in Tunis aboutDevOps which contains - docker introduction and deep dive - orchestrating containers with Kubernetes - automating the process with Jenkins and GitHub-Prepared a full course with labs for a techcompany based in Tunis about git and git-flow- Prepared and co-lead a training session for a French tech company based in Tunis about cloud computing and OpenStack which contains - introduction into Linux operating system - Centos - Advanced system administration - Introduction to cloud Computing - Introduction into Openstack - Managing OpenStack resource with horizon dashboard - Introduction into Terraform - Managing OpenStack resources with Terraform

During my internship i worked on two projects, the first being, Implementation of a Big Data Lambda Architecture on top of a Kubernetes Cluster, and the second project was implementing a CI/CD pipeline for automating the deployment and integration of the projects that are being worked on in the company.

The following are the classes that I taught.Continuous Deployment Project. - Docker - Kubernetes - Jennins - SonarQube - Nexus

The following are the Classes that I taught.Big-Data Frameworks - Hadoop - spark - KafkaSystem administration - CentosContainerized technologies - docker

During the quarantine I developed A Deep Learning model that can detect the presence of Covid-19 from an X-ray Chest scan of a patient, with an accuracy of 94.44%, the project uses containerization technologies to be able to run cheaply on any cloud platform, and well optimized to give the result in a blazing fast respons timeThe Project is Open source, for more details, the Project can be found in my GitHub repo or by using the link belowhttps://github.com/houssem-tebai/Covid-19-Chest-Xray-Detector