class MattBrown:
role = [
"Cloud Engineer",
"Infrastructure Builder",
"Network Architect",
"AI Systems Researcher"
]
current_focus = [
"Azure Infrastructure",
"DevOps Automation",
"AI Agent Platforms",
"Distributed Inference",
"Enterprise Networking"
]
technologies = {
"cloud": ["Azure", "Terraform", "Bicep"],
"automation": ["PowerShell", "Python", "GitHub Actions"],
"networking": ["Cisco", "VyOS", "pfSense", "SD-WAN"],
"virtualization": ["Proxmox", "Docker", "Kubernetes"],
"ai": ["LLMs", "Ollama", "AI Agents", "GPU Infrastructure"]
}
pet_assistant = "Bruno πΎ"
def say_hi():
return "Building cool things one packet at a time."Building a multi-node AI ecosystem focused on:
- Agent orchestration
- Local LLM inference
- Distributed workloads
- Autonomous workflows
- Research environments
- GPU-backed compute clusters
Designing and deploying enterprise-grade Azure environments using:
- Bicep
- Terraform
- Azure CLI
- PowerShell
- GitHub Actions
Infrastructure as Code > Click Ops
Designing and operating:
- VLAN segmentation
- Firewall zones
- SD-WAN topologies
- Site-to-site connectivity
- Enterprise routing
- Hybrid cloud networking
- AI Agent Architectures
- Distributed AI Systems
- Local LLM Infrastructure
- Quantum Computing Concepts
- Network Observability
- Infrastructure Automation
- Hybrid Cloud Security
$ learning --show
β Azure DevOps
β Enterprise CI/CD
β Advanced Cloud Security
β AI Infrastructure Engineering
β Distributed Systems
β Quantum Computingcloud:
- Azure
- Infrastructure as Code
- Automation
networking:
- Routing
- VLANs
- Firewalls
- SD-WAN
homelab:
- Proxmox
- Docker
- GPU Servers
- Monitoring
ai:
- Local LLMs
- Agent Systems
- AI InfrastructureMost of my infrastructure is built with Bruno supervising from a nearby dog bed.
Quality assurance is questionable. Morale support is exceptional.
"Infrastructure should be automated. Networks should be predictable. AI should run where you control it."