Iβm a Sr. DevOps Engineer focused on building secure and scalable cloud infrastructure. I enjoy building systems that are simple, scalable, and reliable in real production environments.
- π§ DevOps Engineer with hands-on experience in cloud
- π³ Strong in containerization & orchestration
- βοΈ CI/CD pipeline design & automation
- π οΈ Infrastructure as Code using Terraform
- π Observability, monitoring & logging for production workloads
- π― Currently helping professionals transition into real-world DevOps
- π§© Actively exploring and contributing to open-source DevOps & Cloud projects
- π Forking, studying, and extending production-grade repositories (Kubernetes, microservices, CI/CD tooling)
- π¦ Building reusable Helm charts, Terraform modules, and automation scripts
- π§ Sharing real-world DevOps knowledge through labs, demos, and repositories
- Designing cloud-native and microservices architectures
- High availability, scalability, and fault-tolerant system design
- Blue-green & rolling deployments
- Secure networking (VPC, IAM, ingress, service-to-service communication)
- Cost-aware infrastructure design
- Reliability engineering and incident-driven improvements (SRE mindset)
- Kubernetes ecosystem (Ingress, Metrics Server, CSI, CNI)
- Helm & Helmfile
- Terraform ecosystem (providers, modules)
- Prometheus & Grafana stack
- OpenTelemetry
- ELK / OpenSearch
- Argo CD (GitOps)
- NGINX / Traefik
- Git-driven infrastructure and application deployments
- Environment-based configurations (dev / staging / prod)
- Self-service deployment patterns
- Reusable DevOps templates and golden paths
- CI/CD as a product for development teams
- Containerizing ML workloads
- Deploying ML services on Kubernetes
- CI/CD for ML pipelines
- Model versioning & reproducible environments
- Monitoring ML services in production



