Muhammad Waqar A.

I am a Senior DevOps Engineer with 8+ years of experience specialized in designing and operating highly available, cloud native platforms. My core expertise lies at the intersection of Production DevOps and AI/ML Infrastructure, where I bridge the gap between complex model deployments and reliable, cost efficient cloud operations. Currently, as a Senior DevOps/AI Infrastructure Engineer, I lead the containerization and deployment of custom LLMs using Ollama and vLLM. I don't just manage servers; I build systems that scale. Recently designing a Kubernetes based architecture that handled 50x traffic growth for over 1 million users. Some of my daily basis tasks are: - AI/LLM Readiness: Hands on experience with LLM observability (Langfuse), air-gapped AI deployments, and GPU optimized workloads - Proven Efficiency: I have a track record of reducing deployment times by 80% through GitOps and improving incident detection by 90% via centralized observability stacks. - Infrastructure as Code (IaC): 100% committed to immutable infrastructure using Terraform, CloudFormation, and Ansible to ensure zer -drift environments. - Setup monitoring systems using ELK/Grafana/Datadog Core Technical Stack: - Cloud: AWS (EKS, ECS, Lambda, SageMaker), GCP, Alibaba Cloud - Orchestration: Kubernetes (K8s), Helm, Docker Swarm, ECS Fargate, AWS copilot - AI Ops: vLLM, Ollama, Langfuse, GPU Infrastructure. - CI/CD & GitOps: GitHub Actions, Jenkins, GitLab CI. - Observability: Datadog, Grafana, Prometheus, ELK Stack, Sentry Certification Coursera: AWS Fundamentals: Going Cloud-Native Pluralsight: Microservices DevOps Udemy: Robotic Process Automation Udemy: Selenium WebDriver with C# Projects Terraform IaC ( Deploy complete infrastructure on AWS using terraform and terragrunt modules) Dockerization of application and deployment with Kubernetes with helm charts using jenkins CICD .NET-Core-Application-dockerization Ansible-Docker-Node-Application Dockerize MEVN application