DevOps & Cloud Platform Engineer | Kubernetes | Azure | Terraform | CI/CD | Cloud Security | AI/Automation
I build secure, automated and production-oriented cloud platforms — from infrastructure and Kubernetes to CI/CD, policy enforcement, observability and AI-assisted engineering workflows.
Ship faster. Secure by default. Operate with confidence.
- ☁️ Cloud Platforms — Azure-first architecture with AWS/GCP exposure
- ☸️ Kubernetes Platforms — AKS, workloads, networking, service discovery and scaling
- 🏗️ Infrastructure as Code — Terraform, reusable modules, remote state and governance
- 🔄 CI/CD & Release Engineering — GitHub Actions, Azure DevOps, Jenkins
- 🔐 DevSecOps — Trivy, Snyk, TFLint, tfsec, Checkov, secret scanning and policy-as-code
- 📊 Observability — Prometheus, Grafana, Azure Monitor and Log Analytics
- 💰 FinOps — cost visibility, rightsizing and cloud optimization
- 🤖 AI Engineering — LLM integrations, automation and AI-assisted engineering workflows
- 📡 IoT / Edge — telemetry platforms, Raspberry Pi / STM32 ecosystems and cloud-connected workloads
Developer Experience
↓
Infrastructure as Code
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Secure CI/CD
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Policy + Identity + Secrets
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Kubernetes / Cloud Runtime
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Observability + Reliability
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Cost + Performance Optimization
I prefer repeatable systems over manual operations, guardrails over tribal knowledge, and automation over tickets.
Python • Flask • Docker • Kubernetes • PostgreSQL • GitHub Actions • Trivy
Cloud-native ingestion POC demonstrating containerization, Kubernetes service discovery, database connectivity, secrets and security scanning.
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.
Hands-on work with AI agents, LLM applications and automation-oriented engineering workflows.
I focus on measurable improvements in delivery, reliability, security and operational efficiency.
| Area | Engineering Focus |
|---|---|
| ⚡ Delivery | Faster, repeatable releases |
| 🔐 Security | Security controls embedded into delivery pipelines |
| 🏗️ Infrastructure | Standardized IaC and reusable platform modules |
| ☸️ Operations | Kubernetes reliability and troubleshooting |
| 📊 Observability | Metrics, logs and actionable operational signals |
| 💰 Cost | FinOps-driven cloud optimization |
| 🤖 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
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Production-minded proof of work
Open to: DevSecOps • Platform Engineering • Cloud Engineering • Kubernetes • Azure • SRE • AI/DevOps opportunities
DevSecOps · Platform Engineering · Azure · AKS · Kubernetes · Terraform · Docker · GitHub Actions · Azure DevOps · Jenkins · CI/CD · Cloud Security · Policy-as-Code · Observability · FinOps · AI Automation
Building secure cloud platforms, one automated workflow at a time.



