Join Santosh Kumar Yamsani, Core Leadership @ Quality Engineering Foundation, as he explores the transformative journey of Quality Engineering into Platform Engineering. In today’s interconnected world, systems and platforms are becoming increasingly intertwined, demanding a holistic approach to quality and engineering. This keynote will delve into the evolution of Quality Engineering, encompassing end-to-end business capabilities, system design, architecture, security, performance, and continuous delivery.

• The importance of deep understanding of systems and platforms in determining the right approach to holistic Quality Engineering/Platform Engineering.
• The evolution of Quality Engineering roles into Platform Engineering roles, requiring holistic thinking and quality-driven thought processes.
• The undeniable impact of Artificial Intelligence in the delivery lifecycle and the need for continuous upskilling.
• The role of Quality Engineering Foundation in bringing together the global engineering community to uplift the craft and solve complex industry challenges with a quality mindset.

As AI redefines the landscape of software engineering, testing is no longer just about automation, it’s about augmentation. This keynote explores how generative AI and intelligent agents are revolutionizing the way we approach quality, shifting testing from a reactive gatekeeper to a proactive enabler of velocity and value. We’ll walk through the benefits of AI-driven testing, unpack the mindset and organizational changes required for successful adoption, and share real-world examples of how companies are navigating the shift from traditional QA to AI-augmented quality engineering.

• AI Supercharges Testing—but Only with the Right Foundation
• You’ll learn how AI can dramatically improve test generation, maintenance, coverage, and defect triage—but only when teams shift from isolated automation efforts to integrated, AI-aware engineering practices.
• Testers Must Evolve Into AI-Augmented Quality Strategists
• The role of the tester is transforming. Future-ready testers will focus on training agents, validating AI outputs, and curating test data—requiring new skills and deeper integration into the SDLC.
• Organizational Change is the Real Bottleneck—Not the Tech
• The biggest challenge isn’t implementing the tools—it’s changing how teams think, collaborate, and make decisions. You’ll hear what process shifts, governance, and cross-functional alignment are essential to make AI adoption in testing succeed.
• Success Requires an AI Transformation Plan—Not Just a POC
• A scattered approach to AI experimentation doesn’t scale. We’ll outline a clear path from early experimentation to enterprise-wide transformation, including AI Centers of Excellence, role evolution, and metrics that matter.

End-to-end testing can often be painful and difficult to scale up because it requires multiple automation and testing tools, all of which need to integrate with each other. In this presentation, we’ll dive further into the challenges of end-to-end testing and how we can address them.

How teams can eliminate manual (or partially automated) testing for their end-to-end systems using standard industry solutions. This will allow them to easily scale their testing needs.

Use case study: How to use Visual studio GitHub Copilot to help expedite writing automation tools

When using Visual Studio, it is important to enhance your prompt engineering and commands to provide clear instructions to Copilot, enabling it to assist you in writing or fixing code effectively.

Get familiar with Github copilot Key Features, analyze the generated code, and put the final code to work.

This presentation goes over the use of opensource tools and AI to exponentially grow your test automation suites in record time

Attendees will have an excellent understanding of the tools and procedures to build a test automation framework and rapidly grow test automation suites.

Hardware-in-the-Loop (HIL) testing bridges the gap between pure software simulation and real-world system behavior, but getting it right is no small feat. In this talk, we’ll walk through what HIL testing is, why it’s critical for modern embedded and robotics systems, and how to build a scalable, automated HIL pipeline. Drawing from real-world experience testing compute subsystems and robotics platforms, we’ll cover the technical and organizational challenges of integrating physical hardware, relay controls, and networked devices into continuous testing workflows. You’ll learn how HIL tests can uncover hardware-software integration bugs that simulations miss, and why buy-in across teams is essential to making it all work.

• A clear understanding of what Hardware-in-the-Loop (HIL) testing is and when to use it
• Why HIL tests are critical for catching hardware-software integration issues missed by simulation-only tests
• Strategies for automating HIL tests, including pipeline integration, lab setup, and relay/network control
• Practical insights into the coordination challenges of managing physical and software resources
• Tips for securing buy-in across teams and aligning HIL with broader testing and development goals

Enterprise QA teams are under constant pressure to release faster, reduce risk, and maintain compliance across increasingly complex systems like Dynamics 365, SAP, Salesforce, and web applications. But traditional test automation often becomes a bottleneck—slowed down by heavy maintenance and limited access to technical resources. In this session, you’ll discover how real-world QA teams are accelerating their test automation initiatives using Leapwork’s no-code platform. You’ll see how eliminating code from the equation empowers broader teams to build, scale, and maintain automation faster—without sacrificing coverage or control.

• First-hand insight into how enterprise teams deploy no-code testing
• Understand the practical ROI of automation in complex systems
• See a live solution in action, not just slides
• Leave with actionable steps to modernize your QA strategy

Jasmine Dedhia is a seasoned IT leader with 20+ years’ experience in engineering leadership, quality engineering, and Agile delivery—driving innovation, leading high-performance teams, and transforming organizations through strategic planning, mentoring, and operational excellence.

VP of Software Engineering at Fidelity with 10+ years’ experience. Leads tech initiatives, drives scalable solutions, and fosters team collaboration. AWS Solutions Architect certified. Expert in Java and WebLogic. Former Chapter Lead and Director of Architecture. Committed to innovation, cloud strategy, and delivering customer-focused platforms.

Experienced Senior Quality Test Leader with a demonstrated history of working in the financial services industry as well as mechanical and biotech field.

Capable manager of large offshore and onshore presence of Test managers and individual contributor test resources. Agile Transformation lead with proven success.

Certified Scrum Master

Experienced technical leader with 20+ years in developer experience, quality engineering, and automation. I lead DevX initiatives, write code, mentor engineers, and contribute to open source. Passionate about collaboration, innovation, and continuous improvement.