AI Enablement
My interest in AI grew organically from my work in developer relations. As a leader focused on developer experience, community, and tooling, I saw firsthand how AI was changing the way developers build, automate, and interact with systems.
Exploring AI at Cisco
During my time as Senior Manager of Developer Advocacy at Cisco, I worked with my team to explore how AI could impact developers using Cisco platforms. We focused on three key areas:
- Developer Tooling: I incorporated AI into my own workflows, using vibe coding to prototype solutions and embedded AI tools for document editing and content acceleration.
- Network Infrastructure: We explored how AI impacts bandwidth, security, and adaptability of developer-accessible networks.
- Agentic AI and Network Automation: The most exciting frontier was AI-powered network automation. DevNet always prioritized automation, but with AI, networks could proactively adapt and manage themselves, transforming how developers build and operate.
Post-Cisco AI Enablement & Consulting
After Cisco, I consulted on community engagement and AI enablement. My AI-focused projects included:
- NTTV Chatbot — Deterministic RAG Assistant: I built a lightweight chatbot using retrieval-augmented generation, deterministic extractors, FAISS retrieval, and LLM routing to deliver grounded answers with low infrastructure overhead. View on GitHub.
- Music Scout — Agent Memory Demo: I built an AI agent that scouts for emerging artists, maintains transparent JSON-based memory, tracks provenance, deduplicates discoveries, and uses a local LLM for bounded enrichment. View on GitHub.
- Pedalboard Extractor — Structured Extraction Demo: I built a demo that turns messy guitar pedal notes into structured records, uses deterministic filtering for natural-language constraints, and optionally uses a local LLM as a grounded narration layer. View on GitHub.
- Custom GPT for Targeted Content Generation: I developed a custom GPT that creates content tailored to specific prompts, topics, and personas.
I wrote about my experience with the LLM and the importance of solid content in the article below:
I also put together a short demo of the Music Scout AI Agent to show how memory makes an AI agent more useful from one run to the next.
Why This Matters
AI is changing how developers work, how networks function, and how communities engage. My focus has always been on enabling people in technology to succeed, and AI is now a core part of that mission. Whether it’s creating smarter support systems, simplifying complex workflows, or scaling community efforts, I’m excited about the possibilities AI brings to developer ecosystems.