Welcome to my GitHub! I'm a DevOps & MLOps Engineer at Idrak AI, specializing in deploying, automating, and optimizing machine learning workflows for production environments. My focus is on building scalable, reliable, and production-ready ML systems — ensuring seamless model deployment, CI/CD automation, and full lifecycle management of AI systems.

• DevOps & MLOps Engineering: Designing and operating Kubernetes bare-metal clusters, implementing GitOps workflows, and automating infrastructure provisioning with Terraform and Ansible
• Cloud Infrastructure: Hands-on management of AWS (EC2, ECS, Lambda, S3, IAM, VPC, CloudWatch) and Hetzner server environments
• Container Orchestration: Docker, Docker Swarm, Kubernetes, Helm, K9s — managing complex heterogeneous workloads including GPU-accelerated compute
• CI/CD & GitOps: Building seamless deployment pipelines using ArgoCD, GitHub Actions, and Jenkins
• Security & Code Quality: Deploying SonarQube and Trivy for vulnerability detection and CI/CD security scanning
• ML Systems: End-to-end ML pipeline automation, observability, and scaling using Ray, MLflow, Kubeflow, Apache Airflow, and Weights & Biases
• VM Management: Administering 200+ virtual machines on Proxmox with high availability and performance optimization
• Demo Development: Creating AI solution prototypes that showcase real-world production applications

• Kubernetes & GitOps: Bare-metal cluster design and operation with ArgoCD-driven GitOps workflows
• AWS Services: EC2, ECS, Lambda, S3, IAM, VPC, CloudWatch — full production environment management
• Scalable Infrastructure: Managing 200+ VMs with high availability, GPU workloads, and heterogeneous compute
• End-to-End ML Pipelines: From model development to production deployment with full observability
• Security-First CI/CD: Integrated vulnerability scanning with SonarQube and Trivy across all pipelines
• Automation-First Mindset: Streamlining operations through Terraform, Ansible, and intelligent automation
• Bridge Builder: Connecting AI research with practical, production-grade business applications

DevOps & MLOps Engineer @ Idrak AI

• Designed and operated Kubernetes bare-metal clusters with GitOps workflows via ArgoCD
• Built and maintained CI/CD pipelines using GitHub Actions, Jenkins, and ArgoCD for ML model deployment
• Provisioned and managed infrastructure using Terraform and Ansible across AWS and Hetzner environments
• Managed AWS workloads including EC2 instances, ECS services, Lambda functions, and S3 storage
• Integrated SonarQube and Trivy for security scanning and code quality enforcement in CI/CD pipelines
• Administered 200+ VMs on Proxmox, ensuring high availability, GPU acceleration, and performance optimization
• Implemented ML observability with Prometheus, Grafana, ELK Stack, MLflow, and Weights & Biases
• Developed AI solution demos and supported research teams with production-grade MLOps tooling

• Advancing Kubernetes-native ML infrastructure and GitOps best practices
• Scaling serverless and event-driven architectures on AWS (Lambda, ECS, Fargate)
• Building robust, secure ML pipelines with integrated DevSecOps practices
• Exploring cutting-edge deployment patterns for GPU-accelerated AI workloads

I'm always excited to collaborate on DevOps, MLOps, cloud-native engineering, and automation projects. Let's connect!

"Turning AI possibilities into production realities, one pipeline at a time."