Azure-first cloud architect / platform engineer. I build secure, scalable platforms, ship DevOps automation, and turn AI hype into production patterns.
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- 🧠 Azure-centric: Landing Zones, governance, security, automation
- ⚙️ DevOps: Azure DevOps pipelines, IaC (Bicep/Terraform), release engineering
- 🧩 Platform + data: AKS, Databricks, ADF, cloud-native integrations
- 🔐 DevSecOps: Snyk, OWASP ZAP, secure SDLC, RBAC/PIM mindset
- 🤖 AI platforms: Azure AI Foundry, Google Vertex AI, AWS Bedrock implementation and enablement
- ☸️ Somewhere on the path to becoming genuinely enterprise-grade with Kubernetes, Helm, Docker, and AKS (translation: I’m building depth, not collecting buzzwords like Pokémon)
- Landing zone patterns, hub-spoke networking, identity and access (RBAC + PIM)
- Standardized CI/CD templates and environment provisioning automation
- Observability that actually helps during incidents (Log Analytics, App Insights, Grafana)
- LLM app patterns, guardrails, evaluation, deployment, and governance
- Integrations across Azure, GCP, and AWS for real-world enterprise constraints
Pin your best work on your profile. Suggested buckets:
- 🛠️ IaC Modules: reusable Bicep/Terraform modules
- 🔁 CI/CD Templates: build-test-deploy templates (clean, repeatable, safe)
- 📊 Observability: dashboards, alert rules, SLOs, runbooks
- 🤖 AI Integrations: Foundry/Vertex/Bedrock patterns, app scaffolds, governance
- ☸️ AKS/K8s: Helm charts, cluster bootstrapping, GitOps patterns
Available for speaking and “AI enlightenment” sessions for teams and communities, especially around:
- enterprise AI adoption patterns
- governance, security, cost, and reliability for AI apps
- platform engineering foundations for AI workloads