Senior Software Quality Engineer
10+ years shipping high-visibility releases and protecting platform integrity across mobile, desktop, TV, wearable, and AR. I turn ambiguous issues into actionable evidence — fast.
Full-spectrum quality engineering
Risk-based testing
Deep defect reproduction and high-signal diagnostics that turn ambiguous issues into actionable evidence engineering teams can fix fast.
Multi-platform coverage
iPhone, Mac, Apple TV, Watch, and Vision Pro — quality validation across the full Apple platform stack.
Trust & Safety
Policy enforcement, technical investigations, and privacy/network compliance — where quality meets integrity.
Performance & graphics
Xcode Instruments, GPU frame capture, and CLI profiling to catch regressions before they reach users.
Tooling & automation
Python, PyTest, and custom workflows that cut cycle time, improve log capture, and scale QA teams.
Escalation & incident response
Cross-functional partner to engineering, program teams, and external developers — unblocking launches under pressure.
Where I move the needle
Leading high-visibility releases
DRI on go/no-go decisions, driving launch readiness and aligning stakeholders on risk across engineering and program teams.
Coaching and leveling up teams
Runbooks, best practices, and hands-on mentoring — including interns and new hires — that raise the quality bar across the whole team.
High-fidelity debugging artifacts
Xcode/CLI diagnostics, proxy traffic inspection, and performance profiling that give engineering teams everything they need to fix fast.
Cross-functional unblocking
Trusted partner across engineering, program management, and external developers — resolving escalations and keeping launches on track.
Self-serve workflows that scale
Automation and tooling that reduce friction, eliminate repeat work, and improve operational consistency without adding headcount.
Agentic QA
Claude Code QA Skills
Custom Claude Code skills that automate end-to-end QA workflows — from test planning to artifact capture — triggered by a single prompt.
Intelligent Log Triage
Crash logs, proxy traffic, and diagnostic artifacts fed to local and hosted models for instant signal extraction and failure classification.
Agentic Defect Reproduction
Agents that autonomously reproduce, diagnose, and document bugs — producing high-fidelity reproduction steps without manual intervention.
AI Test Generation
Converting bug reports, tickets, and specs into structured test cases using LLMs — covering edge cases a human would miss under time pressure.
Visual QA Agents
Vision-capable agents that inspect screenshots and UI renders for regressions, rendering artifacts, and visual defects — no manual eyeballing required.
Localization QA Agents
Agents that validate localized builds — catching string truncation, layout breaks, and translation errors across locales at scale.
Debugging Agents
Agents that ingest stack traces, logs, and system state to isolate root causes, suggest fixes, and generate structured bug reports ready for engineering.
What I'm building toward
Automation
Python & PyTest depth
Expanding automation coverage, improving test architecture, and building reusable fixtures for faster regression cycles.
Certification
ISTQB Foundation (CTFL)
Formalizing test methodology knowledge with ISTQB certification to complement 10+ years of hands-on expertise.
AI Tooling
Local LLM & Claude integration
Exploring AI-accelerated debugging, test design, and workflow automation — including building Claude Code skills.