IT QA Software Specialist combining quality engineering expertise with AI-powered workflows and test automation to deliver reliable, scalable enterprise software. I believe AI is transforming the future of software quality — and I build QA processes that prove it.
I work across the full Software Development Life Cycle — test strategy, test planning, functional and regression testing, defect management, UAT, accessibility validation, and production support. I partner closely with developers, product owners, and business stakeholders to identify risks early and ensure releases land clean.
By integrating AI tools like GitHub Copilot and other intelligent automation into everyday QA workflows, I streamline test creation, improve documentation, accelerate defect analysis, and free teams to focus on higher-value testing. My goal is to help organizations modernize their QA practice — pairing traditional quality assurance principles with AI-driven innovation.
Before moving into QA, I ran daily operations for a high-volume retail team — hiring, scheduling, training, and coaching 15+ people. That grounding in how teams actually work shapes how I test today.
Growing into a QA leadership role — helping organizations modernize their quality practice by pairing traditional QA principles with AI-driven automation.
Passionate about continuous learning, process improvement, and advancing Quality Engineering through AI and automation. Currently growing toward a leadership role helping teams modernize how they test.