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╚═════╝ ╚═════╝ ╚══════╝╚═╝ ╚═╝ ╚═╝ ╚═╝ ╚═╝╚═╝ ╚═══╝ ╚═╝
~/devops · Noida, India · 2+ yrs
🟢 Available for collaboration
Building production-grade cloud-native systems on AWS & GCP — from Terraform-provisioned infra to secure, GitOps-driven Kubernetes deployments.
| Area | Stack | |
|---|---|---|
| ☁ | Cloud Infrastructure | AWS · GCP · EKS · Terraform · IAM · VPC · Lambda |
| ⟳ | CI/CD & GitOps | Jenkins · GitHub Actions · GitLab CI · AWS CodePipeline · Argo CD |
| ◎ | Containers & Kubernetes | Docker · Kubernetes · Helm · Gateway API |
| ⬡ | DevSecOps & Observability | SonarQube · Trivy · GuardDuty · Prometheus · Grafana |
code push
│
▼
┌─────────────────────────────────┐
│ Jenkins · GitHub Actions │ ← CI trigger
│ GitLab CI · AWS CodePipeline │
└──────────────┬──────────────────┘
│
▼
┌─────────────────────────────────┐
│ SonarQube · Trivy scan │ ← security gate
└──────────────┬──────────────────┘
│
▼
┌─────────────────────────────────┐
│ Docker build → ECR / GCR push │ ← artifact
└──────────────┬──────────────────┘
│
▼
┌─────────────────────────────────┐
│ Argo CD GitOps → EKS deploy ✓ │ ← production
└─────────────────────────────────┘
☁ Cloud & Infrastructure
⟳ CI/CD & GitOps
◎ Containers & Orchestration
🔒 Security & Observability
🗄 Databases & Messaging
🤖 MLOps & Scripting
a3f9c21 [feat] manage production EKS clusters for microservices workloads
b12e4d7 [feat] optimize Jenkins/GHA/GitLab CI pipelines + Argo CD GitOps
c8a1f03 [infra] provision AWS + GCP infrastructure with Terraform IaC
d45b9e0 [sec] integrate SonarQube + Trivy + GuardDuty into CI pipeline
e67c2a8 [ops] deploy Prometheus + Grafana observability stack on EKS
f90d1b4 [learn] MLOps PoC — model packaging + Kubernetes-based serving
g23f5e9 [learn] GenAI automation with AWS Bedrock + Lambda
2025:
- Advanced Kubernetes internals & Gateway API
- DevSecOps security automation & compliance
- MLOps fundamentals — model lifecycle & CI/CD for ML
- GenAI automation — AWS Bedrock & Lambda- DevOps & Cloud automation projects
- Kubernetes & GitOps-based platform engineering
- Knowledge sharing & learning-driven MLOps experiments
⚙️ converting manual infrastructure tasks into fully automated pipelines since 2022 🚀