I work in telecom infrastructure service delivery. A lot of my day job is dealing with messy handoffs, vendor delays, field coordination, escalations, and operational gaps that delay delivery.

This profile is where I experiment with AI to turn those problems into tools, workflows, and standards that make service delivery easier to manage.

I am not a traditional software developer. I use AI to help with the technical build, while I focus on the operational problem, the workflow, and whether the result is something operations would actually use and IT could reasonably support.

• Service delivery operations – infrastructure delivery, migration readiness, vendor coordination, field execution, and escalations
• Workflow tools – tools that reduce status chasing, manual follow-up, and unclear ownership
• AI-directed builds – using AI to help prototype, document, validate, and improve operational tools
• Readiness and supportability – checks, standards, handoffs, and support evidence so the work can survive past the first version
• Decision support – scorecards, readiness models, dashboards, and structured follow-up workflows

• Vendor escalation tracking – tracking vendor delays, ownership, aging, next steps, and escalation paths
• Carrier performance scorecards – comparing carrier/vendor performance across delivery, reliability, escalation, and readiness signals
• Migration cutover readiness – tracking dependencies, risks, readiness, and go/no-go decisions
• Supportability checks – building rules and checks so AI-assisted work does not turn into unsupportable prototypes