15+ years of hands-on technical work. Started in web hosting and CDN. Deep in the infrastructure from day one. Still there.
I started in web hosting at Media Temple and moved into CDN at Edgecast. That was 15 years ago. I have been deep in the technical work ever since.
My diagnostic approach is layered. I isolate failures from the application and HTTP layer down through CDN caching, DNS resolution, and transit provider routing. I use cURL, dig, MTR, traceroute, and openssl daily. I connect directly to edge servers via SSH to inspect cache state, server logs, and process health. I have caught issues that standard purges and surface-level checks would never surface.
I have worked high-priority incidents with executive authority. Coordinated internal teams, published real-time status updates, written detailed RCAs. I have led P1s end to end more times than I can count.
I am a teacher. I have been one my whole career. In technical roles that means I build the runbooks, train the new engineers, and document what I know so the team gets better. I have done that everywhere I have worked.
Enterprise clients I have supported at scale include Disney, PayPal, FIFA, Twitter, and Verizon. High-traffic, strict uptime requirements, no room for error.
Currently consulting for an early-stage AI startup called NoQis. Building their technical ops infrastructure from scratch. Doing the job search in parallel.
Early-stage AI startup. No existing technical infrastructure. Building everything from scratch.
Primary technical escalation point for enterprise CDN and SaaS issues. Diagnosed failures across DNS, SSL/TLS, HTTP, and caching layers daily alongside managing a team of 18 to 24 engineers.
Senior escalation point for complex DNS, SSL/TLS, HTTP, and CDN issues across a team of 7 to 10 NOC engineers. Worked tickets daily alongside the team.
Supported high-traffic enterprise clients including Disney, PayPal, FIFA, Twitter, and Verizon with strict uptime requirements. Promoted to team lead following the Edgecast acquisition.
First-line 24/7 NOC support. Isolated CDN, DNS, and network-layer issues using cURL, dig, MTR, and traceroute. Identified transit provider failures through systematic layered diagnostics.
Led all high-priority incidents with executive authority. Built QA frameworks, support playbooks, and escalation runbooks that became the operational foundation for the support organization.
This is not a side interest. I have been applying AI to technical workflows in production environments. At Edgio, I introduced prompt engineering and LLM integration for log summarization, RCA drafting, and documentation. This was a game changer. It reduced MTTR and improved documentation accuracy.
At NoQis, I am designing AI-assisted logging and monitoring pipelines from scratch. Surfacing anomalies, accelerating root cause analysis, reducing cognitive load on a lean team. The diagnostic value here is real and it is only getting better.
I work directly with Claude, ChatGPT, Gemini, Grok, and DeepSeek for practical technical applications. Diagnostic workflows, log analysis, documentation. Not as a novelty. As tools.
Currently consulting part-time and looking for the right full-time role. If you need a senior technical resource who can jump right in and hit the ground running, I'm interested in the conversation.