I'm a Platform Engineer specializing in building secure, scalable, and reproducible infrastructure for cloud-native environments. My passion lies at the intersection of Kubernetes, GitOps, and security-first architectures β with a particular love for Arch Linux, NixOS, and declarative systems.
name: Taylor
location: United States
current_focus:
- Airgapped Kubernetes deployments with Zarf & UDS
- Platform engineering with ArgoCD & Kargo
- NixOS-powered reproducible development environments
- MLOps infrastructure & pipeline automation
interests:
- π§ Arch Linux & NixOS enthusiast
- βΈοΈ Everything Kubernetes
- π Supply chain security & airgapped deployments
- π€ ML infrastructure & model servingCurrently building secure Kubernetes clusters for air-gapped and disconnected environments.
My current work focuses on Zarf packages and UDS bundles β enabling organizations to deploy production-ready Kubernetes clusters without public internet connectivity. This involves:
- π¦ Declarative package management for airgapped Kubernetes deployments
- π‘οΈ Software Bill of Materials (SBOM) integration for supply chain security
- π Zero-trust networking with default-deny NetworkPolicies & Istio mTLS
- π Runtime security with real-time threat detection and policy enforcement
- β Compliance automation for highly-regulated environments
| Project | Description | Status |
|---|---|---|
| π GitOps Tooling Migration | FluxCD β ArgoCD + Kargo for advanced deployment strategies | π’ Active |
| ποΈ IaC Evolution | Terraform vs Crossplane for Kubernetes-native infrastructure | π‘ Evaluating |
| βοΈ NixOS Dev Environments | Reproducible development machines with Nix flakes | π’ Active |
| π Platform Modernization | Staged layers of base services (policy, secrets, service mesh) | π’ Active |
| π― Focus Area | π Details |
|---|---|
| Platform Engineering | Building developer-friendly abstractions over complex infrastructure |
| Declarative Systems | NixOS + Nix flakes for 100% reproducible development environments |
| MLOps | Model serving, feature stores, and ML pipeline automation on Kubernetes |
| Cloud Economics | Cost optimization and resource efficiency in cloud-native environments |
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| π§ OS | |
| π» Languages | |
| βΈοΈ Kubernetes | |
| π€ MLOps | |
| ποΈ IaC | |
| βοΈ Cloud | |
| π CI/CD | |
| π Observability |