Vince Gaddis
Senior Quality Assurance Specialist @FanDuel
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WORK HISTORY
Senior Quality Assurance Specialist @FanDuel
Atlanta, GA, US
Leading comprehensive quality assurance initiatives for FanDuel\'s mobile and web platforms, ensuring smooth user experiences for millions of sports betting customers across iOS and Android applications.• Design and execute end-to-end mobile testing strategies using Appium for iOS and Android applications, validating critical user flows across betting, payments, and account management features.• Develop and maintain robust API test automation frameworks using Postman and Playwright, ensuring backend reliability and data integrity across microservices architecture.• Implement content validation workflows using Sanity CMS to verify accuracy and consistency of dynamic sports content, odds data, and promotional materials.• Author and maintain comprehensive test scripts across multiple repositories, establishing standardized testing practices and improving test coverage by 20%.• Collaborate with cross-functional teams including developers, product managers, and DevOps to integrate automated testing into CI/CD pipelines.• Maintain and optimize test repositories using Git, implementing version control best practices and documentation standards.Technical Skills Applied:Mobile Testing | API Testing | Test Automation | Appium | Postman | Playwright | Sanity CMS | Test Script Development | Repository Management | Agile/Scrum | Regression Testing | CI/CD Integration
ABOUT VINCE GADDIS
I\'m Vince Gaddis, and I’ve spent over 9 years building, leading, and evolving quality assurance practices across complex SaaS, insurance, and e-commerce platforms. My career has been rooted in one principle quality is not about validating features, it’s about protecting users, businesses, and systems from failure. From government healthcare integrations and military systems to enterprise e-commerce and mobile platforms, I’ve led end-to-end testing efforts where reliability, compliance, and trust were non-negotiable.As my responsibilities grew, so did my scope. I’ve directed QA teams, owned release strategy, modernized testing frameworks, and partnered closely with product, engineering, and leadership to surface risk early and make informed delivery decisions. Colleagues know me as someone who brings clarity under pressure, who asks the uncomfortable questions, and balances technical rigor with strong communication and mentorship. I take pride in building teams that think critically, test intentionally, and understand the real-world impact of what they ship.That mindset naturally led me into AI safety work. As organizations began embedding AI into high-stakes systems, I saw a familiar pattern models passed functional QA while harboring serious safety, compliance, and business-logic failures. Traditional testing approaches weren’t designed to challenge AI systems the way real users, attackers, or regulators would. I shifted my focus toward adversarial and red-team testing to expose those blind spots before they caused harm.As an AI Safety Specialist, I don’t teach how to use AI.I teach how AI fails — and how to catch it before it becomes expensive. My work focuses on prompt injection, hallucination detection, bias evaluation, jailbreaks, and compliance risks across regulated and consumer-facing environments. I approach AI the same way I’ve always approached critical software by assuming it will fail in unexpected ways unless rigorously challenged. The goal is not theoretical safety, but practical resilience.What connects my QA career and my AI safety work is the same core skill set systems thinking, risk analysis, clear communication, and accountability. I help teams see what they’ve missed, understand why it matters, and address issues before they escalate into legal, regulatory, or reputational damage.
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