Building Intelligent Infrastructure

From IP networks to neural networks

My Story

For over 20 years, I've built and operated enterprise network infrastructure—from routing protocols and wireless architectures to zero-trust security. But I always felt there was more we could do with automation.

Then AI happened. Not the hype, but the real capabilities of LLMs and agentic systems. I saw an opportunity to bridge two worlds: the deep infrastructure knowledge most AI developers don't have, and the modern AI capabilities most network engineers haven't explored.

01

The Foundation: Network Infrastructure

I began my career building enterprise networks across many verticals. Over two decades, I learned that production systems require more than technical specifications—they demand reliability, security, and operational excellence. I earned my CISSP, CCNP, and multiple wireless certifications while specializing in RUCKUS wireless architecture and zero-trust security implementations.

02

The Pivot: Discovering AI

After completing Stanford's Machine Learning specialization, I built my first AI agent for network automation using Claude. This experience revealed the potential of combining deep infrastructure knowledge with AI capabilities. I immediately began experimenting with RAG systems, autonomous agents, and agentic workflows that could solve real infrastructure challenges.

03

Building in the Open

I began sharing my tools on GitHub: autonomous agents for support automation, RAG-powered knowledge systems, and zero-touch provisioning platforms. Projects like ruckus-ztp and osticket-agent gained community traction, validating that others also need this intersection of infrastructure expertise and AI capabilities. The open-source approach has been essential for learning and collaboration.

04

What's Next

I'm expanding into iOS development with Swift, focusing on Apple Intelligence and frontier model integration (Claude, GPT, Gemini) for native mobile experiences. I document the technical challenges as I learn. I'm looking forward to applying agentic AI to network management and cybersecurity challenges.

Core Technologies

AI & Development

Python FastAPI Claude OpenAI RAG Vector Databases LangChain Swift/iOS System Architecture

Network & Security

CISSP Zero Trust BGP/OSPF/MPLS RUCKUS Wireless Architecture Network Automation ZTP Protocol Analysis

Cloud & Infrastructure

AWS GCP Azure Kubernetes Docker Terraform CI/CD Prometheus Grafana

Certifications & Education

Security & AI

  • CISSP (ISC²)
  • Machine Learning Specialization (Stanford/DeepLearning.AI)
  • Hugging Face Agents Course
  • Azure AI Fundamentals

Cloud & Networking

  • Kubernetes and Cloud Native Associate (CNCF)
  • CCNP (Cisco)
  • Certified Wireless Design Professional (CWDP)
  • Certified Wireless Security Professional (CWSP)
  • Ekahau Certified Survey Engineer

Let's Connect

Interested in collaborating on open source projects or discussing AI and network automation?

Get in Touch