Brahim MEDHIOUB

𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐚𝐧𝐝 𝐝𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐫𝐨𝐛𝐮𝐬𝐭, 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞, 𝐚𝐧𝐝 𝐬𝐞𝐜𝐮𝐫𝐞 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐜𝐥𝐨𝐮𝐝. As a DevOps & Cloud Engineer, I've been instrumental in delivering high-quality software solutions. I specialize in leveraging cloud technologies to automate infrastructure provisioning, CI/CD pipelines, and system optimization. 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: • Provisioning and managing AWS infrastructure using Terraform • Designing and implementing CI/CD pipelines with GitLab CI • Building and deploying containerized applications with Docker and Kubernetes • Monitoring system performance and optimizing resource utilization with Datadog • Implementing security best practices to protect applications and data • Developing and executing disaster recovery plans 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬: • Improved deployment frequency and reduced deployment time • Increased system uptime and reduced operational costs • Streamlined development and deployment processes 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: • Linux, AWS, Terraform, Kubernetes, Docker, GitLab CI, Datadog By streamlining processes, improving system reliability, and reducing operational costs, I have significantly contributed to the success of Nexaminds' projects.

𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐚 𝐰𝐞𝐛 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞. As a Cloud Engineer, I successfully migrated and deployed a full-stack web application to Microsoft Azure. I focused on enhancing performance, security, and scalability. 𝐊𝐞𝐲 𝐀𝐜𝐜𝐨𝐦𝐩𝐥𝐢𝐬𝐡𝐦𝐞𝐧𝐭𝐬: • 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Migrated multiple servers to Microsoft Azure, configuring virtual machines, network settings, and security groups. • 𝐂𝐈/𝐂𝐃 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Implemented robust CI/CD pipelines with GitLab CI to automate the build, test, and deployment processes for both development and production environments. • 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Deployed backend and frontend containers to Azure servers, leveraging Docker for efficient and scalable deployments. • 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠: Managed domain name registrations and configured DNS records with Cloudflare to route traffic to the appropriate servers. • 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Configured and managed MongoDB Atlas databases for development and production environments, ensuring data integrity and security. • 𝐑𝐞𝐯𝐞𝐫𝐬𝐞 𝐏𝐫𝐨𝐱𝐲 𝐂𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧: Set up Nginx as a reverse proxy to optimize traffic routing and enhance application performance. 𝐓𝐞𝐜𝐡 𝐬𝐭𝐚𝐜𝐤: • Linux, Microsoft Azure, Docker, Nginx, CloudFlare, Gitlab CI, MongoDB By combining technical expertise and a focus on automation, I delivered a reliable and efficient cloud-based solution.

𝐋𝐞𝐯𝐞𝐫𝐚𝐠𝐢𝐧𝐠 𝐜𝐥𝐨𝐮𝐝 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐚𝐧𝐝 𝐝𝐞𝐩𝐥𝐨𝐲 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧. During my end-of-study internship, I gained hands-on experience in cloud engineering, focusing on AWS and containerization. I collaborated with a cross-functional team to design, implement, and deploy a machine learning application. 𝐊𝐞𝐲 𝐀𝐜𝐜𝐨𝐦𝐩𝐥𝐢𝐬𝐡𝐦𝐞𝐧𝐭𝐬: • 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐏𝐫𝐨𝐯𝐢𝐬𝐢𝐨𝐧𝐢𝐧𝐠: Deployed and configured Linux virtual machines on Proxmox VE, implementing robust security measures with SSH keys. • 𝐂𝐥𝐨𝐮𝐝 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Managed AWS IAM user groups and permissions, ensuring secure access to S3, ECR, CloudWatch, and Lambda services. • 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Containerized a machine learning model using Docker and automated its deployment to Amazon ECR with Jenkins CI/CD pipelines. • 𝐒𝐞𝐫𝐯𝐞𝐫𝐥𝐞𝐬𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞: Utilized Amazon SageMaker to deploy the machine learning model as a serverless application, creating an API Gateway endpoint triggered by Lambda functions. 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: • Linux, AWS, Docker, Jenkins By successfully completing these tasks, I contributed to the efficient and secure deployment of our machine learning solution.

𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐚 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐦𝐨𝐝𝐞𝐥 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐧𝐠 𝐝𝐞𝐧𝐭𝐚𝐥 𝐝𝐢𝐬𝐞𝐚𝐬𝐞𝐬 𝐟𝐫𝐨𝐦 𝐗-𝐫𝐚𝐲 𝐢𝐦𝐚𝐠𝐞𝐬 𝐚𝐧𝐝 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭.

𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐨𝐟 𝐚 𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧.