Networking & Infrastructure
- Network Architecture & VLAN Design
- OPNsense / FreeBSD Firewall Engineering
- Fortinet / Fortigate solutions
- DNS, DHCP, VPN, and Identity Troubleshooting
- Secure Remote Access & Zero Trust
- Switching, Routing & Cabling
- ISP Coordination & Full‑Stack Infrastructure Support
Systems, Cloud & Virtualization
- Linux Systems (Ubuntu, Debian, FreeBSD)
- Microsoft 365 Administration
- Azure AD / Entra Identity
- Proxmox Virtualization & Container Hosting
- Hyper‑V Virtualization
- Cloudflare Tunnels & Zero Trust Architecture
Documentation & Operational Excellence
- Infrastructure Documentation & SOP Development
- Clear, concise communication with clients & teams
- Root‑cause analysis & structured troubleshooting
- Process improvement & modernization initiatives
AI Orchestration & Agent Systems
Modern infrastructure isn't just about hardware — it's about orchestrating AI as a distributed system. I operate a multi-node AI organism powered primarily by local GPU inference, with cloud models serving as reasoning support, auxiliary processing, and sub-agent task delegation. The result: faster responses, lower operating costs, and a resilient architecture that stays online even when the cloud doesn't.
- Local-first AI inference on dedicated GPU hardware (4090, 24GB VRAM)
- Cloud models for complex reasoning, sub-agent tasks, and burst workloads
- Multi-agent workflow design and delegation
- LLM operations (Ollama, cloud APIs, local GPU)
- Token-efficient load balancing between local and cloud models
- Cron-based automated research and monitoring
- Skill-based AI memory and persistent context
- Mixture-of-Agents (MoA) for diverse-perspective synthesis
- Infrastructure as Code for AI system management
- AI-assisted troubleshooting, hypothesis validation & config review
- Automated email, reporting, and alerting pipelines
Vibe Coding & Iterative Workflow
“Vibe coding” is my shorthand for a fast, intuitive, feedback‑driven workflow — combining experience, pattern recognition, and AI collaboration to build solutions efficiently.
- Iterative, output‑driven engineering
- Rapid prototyping of configs, scripts & layouts
- Real‑time refinement based on system feedback
- Balancing intuition with structured validation
- Creative problem‑solving under constraints