DevOps & Cloud Platform Engineer | Kubernetes | Azure | Terraform | CI/CD | Cloud Security | AI/Automation
I build secure, automated and production-oriented cloud platforms β from infrastructure and Kubernetes to CI/CD, policy enforcement, observability and AI-assisted engineering workflows.
Ship faster. Secure by default. Operate with confidence.
- βοΈ Cloud Platforms β Azure-first architecture with AWS/GCP exposure
- βΈοΈ Kubernetes Platforms β AKS, workloads, networking, service discovery and scaling
- ποΈ Infrastructure as Code β Terraform, reusable modules, remote state and governance
- π CI/CD & Release Engineering β GitHub Actions, Azure DevOps, Jenkins
- π DevSecOps β Trivy, Snyk, TFLint, tfsec, Checkov, secret scanning and policy-as-code
- π Observability β Prometheus, Grafana, Azure Monitor and Log Analytics
- π° FinOps β cost visibility, rightsizing and cloud optimization
- π€ AI Engineering β LLM integrations, automation and AI-assisted engineering workflows
- π‘ IoT / Edge β telemetry platforms, Raspberry Pi / STM32 ecosystems and cloud-connected workloads
Developer Experience
β
Infrastructure as Code
β
Secure CI/CD
β
Policy + Identity + Secrets
β
Kubernetes / Cloud Runtime
β
Observability + Reliability
β
Cost + Performance Optimization
I prefer repeatable systems over manual operations, guardrails over tribal knowledge, and automation over tickets.
Python β’ Flask β’ Docker β’ Kubernetes β’ PostgreSQL β’ GitHub Actions β’ Trivy
Cloud-native ingestion POC demonstrating containerization, Kubernetes service discovery, database connectivity, secrets and security scanning.
π View project
Reusable infrastructure patterns focused on modules, governance, security and optimized cloud cost.
Architecture work around Azure Landing Zones, AKS, cloud governance and AI workload enablement.
π Explore AKS work
Hands-on work with AI agents, LLM applications and automation-oriented engineering workflows.
π Explore AI projects
I focus on measurable improvements in delivery, reliability, security and operational efficiency.
| Area | Engineering Focus |
|---|---|
| β‘ Delivery | Faster, repeatable releases |
| π Security | Security controls embedded into delivery pipelines |
| ποΈ Infrastructure | Standardized IaC and reusable platform modules |
| βΈοΈ Operations | Kubernetes reliability and troubleshooting |
| π Observability | Metrics, logs and actionable operational signals |
| π° Cost | FinOps-driven cloud optimization |
| π€ Automation | Reduce repetitive engineering work with automation and AI |
- Azure Landing Zones + enterprise Terraform modules
- AKS platform engineering and workload patterns
- GitOps with Argo CD / Flux
- Policy-as-Code and secure software supply chains
- SBOM, image signing and provenance
- Observability-driven SRE practices
- AI agents for DevOps / platform operations
I treat GitHub as an engineering portfolio and delivery platform, not a code dump.
Clear README
+
Architecture diagrams
+
Infrastructure as Code
+
CI/CD automation
+
Security scanning
+
Operational documentation
+
Reproducible labs
=
Production-minded proof of work
Open to: DevSecOps β’ Platform Engineering β’ Cloud Engineering β’ Kubernetes β’ Azure β’ SRE β’ AI/DevOps opportunities
DevSecOps Β· Platform Engineering Β· Azure Β· AKS Β· Kubernetes Β· Terraform Β· Docker Β· GitHub Actions Β· Azure DevOps Β· Jenkins Β· CI/CD Β· Cloud Security Β· Policy-as-Code Β· Observability Β· FinOps Β· AI Automation
Building secure cloud platforms, one automated workflow at a time.



