I’m a DevOps Engineer focused on building reliable, automated, and cloud-native delivery systems.
My background in Backend Engineering (Python/Django, TypeScript/Nest, C#/ASP.NET Core) enables me to bridge the gap between development and operations—designing automation that meets real application needs.
- Cloud & Infrastructure: AWS (EC2, EKS, VPC, Lambda, S3), Terraform, Kubernetes, Docker
- CI/CD & Automation: GitHub Actions, GitOps, Argo CD
- Monitoring & Observability: Prometheus, Grafana, CloudWatch
- Security: RBAC, Security Groups, Vulnerability Scanning
- Programming & Scripting: Python, Bash, JavaScript, Linux, YAML
- Journal Starter – A FastAPI application deployed with modern cloud-native practices. This project demonstrates containerization, infrastructure as code, CI/CD automation, Kubernetes orchestration, and observability using Prometheus and Grafana.
- Microservies Deployment Platform - A containerized microservices architecture (VueJS frontend, Go Auth API, Node.js TODOs API, Spring Boot Users API Redis queue, and python log processor) for consistent development and deployment.
- hng-stage-4-devops-infra – This project leverages Terraform for provisioning cloud resources and Ansible for configuration management and application deployment.
- KCNA: Kubernetes and Cloud Native Associate – The Linux Foundation
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Building real-world DevOps projects around CI/CD pipelines, Kubernetes deployments, and Infrastructure as Code to strengthen automation and scalability.
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Always open to connecting with engineers working on automation, reliability, or cloud-native infrastructure.
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Debugging the use of backref and back_populates in SQLAlchemy
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Python - Data Structures: Lists, Tuples, Sets, and Dictionary