I build reliable cloud infrastructure, Kubernetes platforms, automated delivery systems and AI-enabled application platforms — with a focus on repeatability, security and production reliability.
Modern DevOps is more than writing deployment scripts. It is about understanding how infrastructure, applications, security, automation and people connect.
My work spans AWS infrastructure, Kubernetes platforms, CI/CD automation, containerized applications, cloud security, data integrations and AI-enabled workloads.
The goal is simple: make complex systems more repeatable, observable and easier to operate.
Instead of listing projects, this portfolio focuses on the engineering systems and architecture patterns behind the work.
EKS environments, node groups, IAM integration, private access, Helm-based components and ingress-driven application delivery.
Automated build and deployment workflows using GitHub Actions, self-hosted runners, Docker, ECR and AWS deployment services.
Standardized multi-environment infrastructure using CloudFormation with compute, databases, networking and security components.
Containerized application platforms integrating APIs, AI services, data platforms and IAM-based cloud access.
IAM-driven access, secrets management, private access patterns, encryption and controlled environment-level permissions.
Monitoring, logs, health checks and troubleshooting workflows across infrastructure and containerized applications.
A reliable delivery platform turns application changes into repeatable infrastructure and deployment events.
A connected view of the technologies used across infrastructure, delivery, platforms, security and AI.
A few measurable outcomes and engineering dimensions from the work across cloud, automation and production systems.
From Linux, automation and application hosting to cloud platforms, Kubernetes and AI-enabled systems.
Building and supporting AWS infrastructure, Kubernetes platforms, CI/CD automation and AI-enabled application delivery.
Production cloud infrastructure, containerized applications, CI/CD platforms, security controls, monitoring and cost optimization.
Built the foundation across Linux, AWS, Python, Bash, CI/CD, Docker, databases, cloud hosting and monitoring.
Cloud platforms increasingly support AI-enabled applications. My work sits at the infrastructure layer that makes those applications deployable, connected and operable.
Security isn't a separate step after deployment. Access, secrets, encryption and network boundaries belong inside the engineering workflow.
Certifications and structured learning supporting the broader engineering foundation.
Amrita Vishwa Vidyapeetham
Hindusthan College of Arts & Science
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Open to conversations around cloud engineering, DevOps, Kubernetes, AI platforms and challenging infrastructure problems.