With all the hype around AI in software testing, it’s easy for manual testers to feel anxious, sidelined, or uncertain about their place in the future. Do you need to become a developer overnight? Learn machine learning? Or worse—are you being replaced?

In this talk, we’ll cut through the noise and take a human-centered look at what AI really means for testers. You’ll learn how manual testing skills—like curiosity, empathy, and critical thinking—are not only still relevant, but more essential than ever. We’ll explore practical, approachable ways to start engaging with AI tools without needing a technical background, and discuss how testers can confidently evolve their role in an increasingly AI-assisted world.

• Manual testers aren’t being replaced—they’re being redefined.
• You don’t need to be an AI expert to start using AI effectively.
• Mindset matters more than tools.

This session explores how to seamlessly integrate automated testing into the DevOps pipeline, enabling faster, more reliable releases. By aligning test automation with Agile practices, teams can confidently deliver high-quality products at the end of each sprint, ensuring continuous delivery and improved efficiency throughout the development lifecycle.

Learn how to integrate automated testing into the DevOps pipeline to enable faster, more reliable releases.

• Understand how to align test automation with Agile practices for seamless sprint-based delivery.
• Discover strategies to build resilient, maintainable automation frameworks that support continuous development.

As enterprises deepen their investment in automation—ranging from functional UI testing to API regression suites and RPA integrations—quantifying ROI becomes essential for governance, roadmap prioritization, and stakeholder alignment. This session deconstructs automation ROI beyond simplistic cost-avoidance models, incorporating engineering-centric metrics such as test execution velocity, release throughput, defect containment ratio, and test maintainability. Attendees will explore how to establish automation KPIs that reflect both system-level efficiency and business-level outcomes, and how to avoid common pitfalls like false positive debt, tooling misalignment, and over-engineered scripts. Through a practical framework and proven strategies, the talk equips teams to deliver automation programs that scale with measurable and sustainable value.

• A structured approach to calculating and communicating automation ROI.
• Key financial and non-financial metrics to track automation success.
• How to align automation goals with organizational strategy.
• Common misconceptions and mistakes in ROI measurement.
• A practical framework to define and evaluate automation outcomes in your context.

VP, Electronic Trading Technology, Bank of America | MBA, Stern School of Business, NYU, 2018 (Specializations: Strategy, Technology, Finance) |

MS in Computer Science, Northeastern University | AWS Certified Solutions Architect (Associate).

Hardworking and motivated Computer Science graduate with cloud expertise. Certified AWS Solutions Architect Associate with experience at IBM, AWS, and JP Morgan. Skilled in deploying apps to AWS, GCP, Kubernetes, IBM Cloud, and Heroku. Strong interpersonal skills and a passion for technology.

Senior Technology Executive with 20+ years in FinTech, specializing in Platform Quality Engineering, DevOps, and Program Management. Expert in driving scalable, high-quality software delivery using cloud, AI, and agile practices. Proven leader in transformation, innovation, and building high-performing global teams with a strong quality-first mindset.

Seasoned QA leader and test automation architect with 20+ years of experience. As VP of QA Engineering at Goldman Sachs, I drive test strategy, lead high-performing teams, and architect automation platforms that ensure quality at scale across enterprise systems in Agile and SAFe environments.