I'm an IT Service Desk Analyst II focused on automation, infrastructure, and operational reliability. I turn hands-on work into documented, evidence-backed projects that reduce manual effort, improve visibility, and make team workflows easier to follow and support. If it's repetitive, I automate it. If I can't verify it, I don't trust it.
🔗 View my portfolio — projects, evidence, resume, and contact.
By day: building AI Ops tooling for a global service desk — n8n queue reporting, Jira automation, agent-assisted shift handoffs, and KBA lifecycle tooling. All governed, all git-backed, all designed to make manual work disappear. That work lives at CLorenzo_wkinect.
Outside of work: the labs below — infrastructure-as-code, home network engineering, and the cert path toward cloud/platform work.
| Project | What it is |
|---|---|
| Home Network Infrastructure / HA DNS | Validated, high-availability DNS and failover: Pi-hole, Unbound, Keepalived, Gravity Sync, Prometheus/Grafana monitoring. Where a lot of the learning started. |
| Managed Network Infrastructure Lab | Omada/ER605 managed cutover complete — subnetting, VLAN planning, firewall policy, rollback plan documented. |
| VPS Cloud Infrastructure Lab | Linux VPS hardened with DNS/public routing in place; containerized app deployment, reverse proxy/HTTPS, monitoring, and backups planned. |
| AWS Network Automation Lab | AWS networking as code — a reusable Terraform/OpenTofu VPC module, a Python drift-check CLI with tests, and CI. Learning project, not deployed infrastructure. |
A full-stack network-ops dashboard and a governed homelab-ops system live in private repos. Happy to walk through them.
- Infrastructure: Linux · Proxmox · Docker / Compose · Tailscale
- Networking & DNS: Pi-hole · Unbound · Keepalived · Omada · ER605
- Automation & validation: Python · Bash · PowerShell · pytest · GitHub Actions
- Observability: Prometheus · Grafana · Alertmanager
- Cloud & IaC: OpenTofu / Terraform · AWS networking-as-code
- AI & Automation: n8n · Jira API · Copilot Studio (work context)
| Cert | Status |
|---|---|
| AWS AIF-C01 (AI Practitioner) | 📖 Studying — target Sep 2026 |
| HashiCorp Terraform Associate | 📋 Planned — Oct 2026 |
| AWS CLF-C02 | 📋 Planned — Nov 2026 (free attempt after AIF) |
| AWS SAA-C03 | 📋 Planned — Q1 2027 |
- Learn the fundamentals, then build something real with them
- Validate results through tests, CI, or operational evidence
- Document what was proven — separate private operational detail from public-safe case studies
- Use AI as an accelerator while independently reviewing and validating its outputs
Portfolio at stayz3ro.github.io/portfolio — always happy to talk shop.

