I design AI systems, then build them until they actually run.
I started out automating VMs by the thousand, then moved into cloud migrations, landing zones and Terraform pipelines, then DevOps: Kubernetes, observability and lots of IaC. Now I design and build the AI layer. I care about evals and operational readiness more than demos. On my own time I design and build things to learn, starting from an architecture diagram. If it breaks, I write down why.
Running in production, at my day job
Azure AI Foundry AI gateway
An Azure AI Foundry gateway I designed and implemented to manage, monitor and govern AI solutions: one place for model access, oversight and control.
AI agents on Databricks, Snowflake & Sigma
AI agents I designed on the data platform that cut manual analysis for ops and business teams, plus AI for analytics and operational insights.
Readiness & responsible tooling
Evals, testing and operational readiness for AI apps; trying out Cursor and MCP with security and configuration first.
Scope only. Internal details and numbers stay at work.
Ten years from VMs to AI agents.
10+ years in infrastructure, cloud & data · 9 certifications · 21 public GitHub repos
Show the full career path
Solutions Architect — Cloud, Data & AI
- Enable AI across Databricks, Snowflake, and Sigma for analytics and operational insights.
- Design AI agents that cut manual analysis for Ops and business teams.
- Implement Azure AI Foundry as a gateway to manage, monitor, and govern AI solutions.
- Evaluate Cursor and MCP with a focus on security, configuration, and responsible use.
- Support AI application build-out, evals, testing, and operational readiness.
Senior DevOps Engineer
- Design enterprise Azure and AWS architectures, including Hub-and-Spoke landing zones.
- Build IaC and CI/CD with Terraform, Bicep, Azure DevOps, and GitLab.
- Run Kubernetes, Docker, and ECS/Fargate for availability and cost.
- Implement Prometheus, Grafana, observability, and cloud security controls.
Cloud / DevOps Consultant
- Migrate complex legacy applications to Azure and AWS with resilient, cost-aware designs.
- Build secure landing zones with Terraform and GitLab CI/CD to cyber standards.
- Deliver cloud security and compliance projects with guardrails on Azure workloads.
Cloud / DevOps Engineer
- Deploy IaaS on AWS and Azure using Terraform and GitLab CI/CD.
- Execute application migrations and performance optimizations.
- Investigate incidents and work remediations with compliance and security teams.
Technical Lead
- Automate cloud management with vRealize Automation and Orchestrator across 1000+ VMs.
- Integrate vRO with CouchDB and manage ESXi, HA, DRS, and migrations.
- Run Agile delivery and Bitbucket workflows; training that lifted team skills.