I design and automate scalable, secure, and high-availability cloud platforms using AWS, Kubernetes, Terraform, and modern DevOps practices. I focus on enabling fast, repeatable deployments, resilient architectures, and data-driven systems powered by cloud-native tooling and automation.
- Build and manage production-grade AWS infrastructure using IaC (Terraform & CloudFormation)
- Design CI/CD pipelines for automated, reliable software delivery (GitHub Actions, Jenkins, GitLab CI)
- Develop containerized applications with Docker, Kubernetes, EKS, and ECS
- Implement cloud-native observability using Prometheus, Grafana, CloudWatch, and ELK
- Architect scalable, fault-tolerant, and secure platforms following DevSecOps best practices
- Leverage AI/ML services to build intelligent, automated cloud workflows
- AWS DevOps - Professional
- AWS Certified Security – Specialty
- AWS Certified Data Analytics – Specialty
- AWS Certified Machine Learning – Specialty
- AWS Certified Solutions Architect – Associate
- AWS Certified Developer – Associate
- AWS Certified Cloud Practitioner
Cloud: AWS (EC2, Lambda, S3, RDS, VPC, IAM, DynamoDB, Kinesis, Glue)
IaC: Terraform, CloudFormation
Containers: Docker, Kubernetes (EKS), Helm
CI/CD: GitHub Actions, Jenkins, GitLab CI
Monitoring & Logging: Prometheus, Grafana, CloudWatch, Loki, ELK
Scripting: Python, Bash
Other: GitOps, Serverless, Event-Driven Architecture
- Building intelligent DevOps workflows using Generative AI
- Advancing automation strategies for platform engineering
- Improving cloud security posture with zero-trust and IAM best practices
I’m always excited to collaborate on cloud, DevOps, AI/ML, and platform engineering projects.
Feel free to open issues, explore my repositories, or reach out!