San Francisco · QA Engineering · Technical Support · iOS
My background spans Apple technical support, Location Framework QA, team training, and independent iOS work. I test real devices, investigate failures, document what I find, and help move software toward a reliable release.
Performed hands-on QA of internal iOS releases across physical Apple devices, field scenarios, and repeatable regression workflows.
Apple support, training, and operations work that strengthened my troubleshooting, documentation, escalation, and communication habits.
Lead requirements, content structure, user-flow decisions, and acceptance testing for independent iOS projects. Current work includes KXSF.FM, an independent Swift app released on the App Store, and the ongoing modernization of an assistive camera project using on-device Apple technologies.
Diagnosed hardware, software, account, connectivity, and device-setup issues across Apple products and services in a high-volume support environment. Used customer symptoms and observed behavior to isolate likely causes, explain technical findings, and follow escalation paths through resolution. Guided customers and business teams through device setup, software troubleshooting, and mobile-device-management installation for required apps and configurations.
Coordinated training priorities and supported more than 150 employees with practical guidance, learning resources, and customer-support readiness. Maintained more than 95% completion for required and optional training materials.
Managed daily operations, inventory, cash handling, deliveries, and vendor coordination.
A selection of iOS, QA, and AI-workflow projects. Where AI-assisted implementation was used, my role focused on requirements, acceptance criteria, validation, and release decisions.
Partnered with KXSF station stakeholders to turn listener and programming needs into the current iPhone app. Gathered requirements, shaped the content hierarchy and page copy, and carried feedback through release for live listening, the official show schedule, KXSF Live videos, a Home Screen widget, and Live Activity support.
Defined the product scope, evaluation criteria, local-first requirements, and acceptance tests for an AI-agent-assisted QA workspace for scoring AI responses and classifying failure patterns. The browser-based tool stores searchable review history locally and does not call an external AI provider.
Designed and operated a cost-aware multi-agent AI environment with isolated specialist roles, deterministic automation, activity-aware orchestration, backup workflows, and health monitoring. Defined requirements, model-routing boundaries, approval gates, and acceptance criteria; reviewed live behavior while using AI assistance for implementation.
I’m strongest in roles that combine troubleshooting, validation, documentation, and clear communication. If that’s what your team needs, email is the best way to reach me.
