I'm Parker Runyon, a Senior NOC Technician who got tired of manual reporting and built the tools to kill it. Looking to bring that same instinct — find the broken process, automate it, ship it — into project management.
I've spent the last six-plus years on the front line of network operations — monitoring, triaging, and escalating issues across critical infrastructure where downtime isn't an option. That work taught me to think in systems: every alert, every ticket, every handoff is a process, and most processes have slack in them.
Rather than just absorb the manual grind — writing the same status reports, manually checking the same ticket fields — I started using AI tools to remove it. That turned into real, working tooling I use on the job today.
I'm now actively moving toward project management and AI-driven operations roles, where I can apply that same "find the bottleneck, build the fix" approach at a wider scale.
Two tools I built using AI assistance to remove manual work from my day-to-day NOC role — not concepts, things I actually run.
Shift and incident reporting ate a meaningful chunk of every shift — pulling the same data points, formatting them the same way, every single time. I worked with AI to write a script that generates these reports and summaries automatically, pulling from existing system data instead of building them by hand.
Ticket quality and consistency matters for downstream reporting, but manually auditing tickets for completeness and accuracy doesn't scale. I built a script-driven workflow that audits work tickets automatically, flagging gaps so issues get caught early instead of after the fact.
NOC work is project management at high frequency — triage priorities, coordinate stakeholders, hit a deadline measured in minutes, document everything. I'm looking to take that instinct into a role with a longer time horizon.
Open to project management, operations, and AI-driven process roles. Happy to walk through the tooling above in more detail.