AI & Automation Engineer with 10+ years of experience building intelligent systems and scalable automation frameworks. Currently focused on applying LLMs and generative AI to solve complex engineering challenges, including AI-powered accessibility testing with AWS Bedrock and custom prompt engineering. Deep expertise in cloud-native platforms, distributed systems, and end-to-end test automation across multi-cloud environments. Track record of leading cross-functional initiatives that delivered 70% test coverage improvements and zero-defect releases at scale.
An intelligent accessibility testing tool that leverages AWS Bedrock and custom prompt engineering to identify WCAG compliance issues across web and mobile platforms. The system analyzes page structure semantically, reduces false positives by 40%, and provides actionable remediation guidance for development teams.
End-to-end testing framework for Ring.com e-commerce workflows that increased test coverage from 5% to 70%. Built with Playwright and integrated into CI/CD pipelines to ensure reliable Black Friday launches and catch payment/content integration failures before production.
Automated web scanning system built to ensure European Accessibility Act compliance across 4,800 pages in 8 locales. Coordinated with 8 teams to implement scanning, defect tracking, and remediation workflows for Ring Ecommerce properties.
Amazon
Veracode
Northeastern University, Boston
Thoughts on testing, automation, and software quality.
How I cut browser testing costs by 99% using Daniel Miessler's kai-browser-skill pattern — code-first automation that runs infinitely without burning tokens.
Run a private AI assistant inside your note-taking app — no API costs, no data leaving your Mac.
Exploring how large language models can transform accessibility testing and defect identification in modern web applications.