BIO: Nidhi Sharma is a Quality Engineering Manager and AI Ambassador at EPAM Systems, Poland, with over 17 years of experience leading AI-driven quality initiatives. She has collaborated with Fortune 500 clients across the globe, delivering transformative solutions in financial markets, stock exchanges, life sciences and healthcare, telecommunications, e-commerce, and large-scale digital transformation programs. Her expertise spans the full spectrum of quality engineering, from end-to-end QA strategy, scaled automation, and CI/CD enablement to non-functional assurance—covering performance, resilience, and security—as well as establishing audit-ready quality controls in regulated environments. Beyond her technical expertise, Nidhi is recognized for her ability to connect teams, simplify complexity, and translate ideas into scalable, practical solutions that enable organizations to innovate with confidence. She is a dual finalist for the WLIEA 2025 Awards in the categories of *Innovator of the Year and *Unsung Hero in Leadership, and a proud recipient of the *OneMain Shine On! Leadership Award. Previously, she contributed to AMDOCS’s Global 5G initiative as a distinguished 5G Elite Club Member. As a speaker and writer, she is passionate about sharing practical insights on AI/GenAI, Responsible and Ethical AI, Cloud, Cybersecurity, and 5G. Her thought leadership has been featured in leading platforms and communities including, Test-Fest, Observer Dawn, DZone, EPAM AW Club, EPAM Poland QE community, and EPAM GenX-AI Community. She is an active volunteer in CSR initiatives, with a strong focus on ecosystem building and technology for the social good. She has mentored NGOs, including Grey-box Canada, on implementing sustainable AI QA practices, and has maintained a 14-year commitment with Blossom India, working to bridge technology and social equity. She also contributes to EPAM’s green initiative and community-building programs, while designing mentorship pathways to prepare the next generation of engineers for the AI-driven future.

Description | Rethinking QA: From Gatekeepers to AI Guardians
The QA Revolution presentation emphasizes that with AI transforming industries. QA stands at a critical crossroads: while the market will triple by 2030. A global reskilling crisis and rising regulations like the EU AI Act put professionals at risk of irrelevance if they don’t adapt. Case studies from Amazon, Tesla, and ChatGPT show the high cost of poor AI oversight, but new opportunities are emerging—roles like AI QA Engineer, Ethics Lead, and Compliance Auditor offer premium salaries and future-proof careers. Success depends on mastering technology, building ethical intelligence, and leveraging uniquely human skills such as creativity and leadership. With a clear roadmap to transform into phases and proven global success stories, the call to action is urgent: assess, learn, connect, and act now. The choice is to clearly remain a traditional gatekeeper or step up as an AI guardian shaping the future of quality.

BIO: With 17 years of experience as a QA and 14 years of testa automation (Python and recently TypeScript), I have been testing UI, API, IoT and been a test lead, architect, and a menthor. I'm also a co-creator of SlonzaczQA and was a part of the program committee of ConSelenium/Tada and TestWarez. After hours I'm creating a testerembyc.pl, an open-source project called MkDocs Publisher, doing some DIY, and playing with 3D printing.

Descritpion | A Journey Through Time and Personal Growth - The Evolution of QA
During my whole professional career, I was doing a lot of things, but quite often, when I was trying to do something new, I realized that most of them, had a beginning in the past. There was always some event or skill that I have done a few years earlier that teaches me something new, what allows me to get a new job or just get a promotion. Nowadays, it still works the same, but quite often It's also connected with networking and meeting a new people. The whole presentation is meant to be interactive time travel over the last about 20 years, that will show some key events and skills from the past, that influenced my growth as QA person, team and tech lead, conference speaker and a co-organizer of Polish local meetup and conferences.

BIO: A knowledge seeker. Quality Consultant , Mentor and Trener specialises in process improvement, and Test automation. Maciej is always looking for a new opportunity to challenge and hone his skills. He has gathered experience working for different companies with different working models, From small to big corporations, From Product via In-house development to software house. Thanks to that he has a wide perspective on testing quality and delivering value. During his stay in Dublin he realised his passion: Knowledge sharing. His strong belief is that what makes us human is the ability to learn and share knowledge. That is why for the almost decade he has been doing his best to give back to the IT community, by writing articles, recording videos on his channel Itea Morning and speaking on conferences.

Description | Why Testers Can’t Accept Enshittification – or Maybe They Should?
Many testers see themselves as guardians of quality – but what if that very belief is what makes their job harder? They believe their role is to detect and eliminate defects before the product reaches users. Yet reality often falls short of that expectation: business decisions rarely prioritize maximum quality, and users are increasingly used to “just good enough.” Testers’ frustration grows when reported issues are ignored or postponed. You don’t have to look far – some testers spend hours reporting the tiniest website bugs, only to feel bitter when no one even reads their reports. In this talk, I’ll explore how testers can recalibrate their expectations around quality and better understand the business perspective – instead of viewing every unfixed bug as a personal failure. I’ll share ways to define quality more effectively and focus on what truly matters. Participants will learn concrete tools and techniques to support quality decision-making, including: Test Spheres – a framework for aligning on what “good enough” means for different stakeholders Risk Storming – a collaborative method for analyzing risks and making informed quality trade-offs Soap Opera Testing with personas – a storytelling approach to visualize the business impact of poor quality I'll show how testers can use these tools to stop fighting mediocrity blindly – and start communicating the value of quality in ways that actually resonate within the organization.

BIO: Mateusz: Test engineer since 12 years in Telco industry. I was taking part in trials, pilots, demos, acceptance tests for many customers worldwide. I am also responsible for creating test plans and strategies. All of these tasks required strict cooperation with customers and customer teams, which showed me their point of view and helped understand their needs. Currently working as test architect responsible for customer specific verification Krzysztof: Results-oriented technology leader with 17+ years of experience in telecommunications, specializing in customer-focused RAN technologies testing and project management. Proven ability to manage large teams, deliver complex projects, and translate high-level strategy into actionable team goals. Expertise includes Customer-Specific Verification frameworks (Asian Operator Ownership) and 5G trials and pilots. Awarded multiple times for outstanding contributions in the prestigious TC Wrocław Awards. 

Description | Customer oriented testing, Who is the customer?.
We’ve all heard of the customer — yet few have truly met them. The customer is a mysterious figure, often seen as the source of pressure on test engineers and developers alike. They frequently come hand-in-hand with tight deadlines and ever-changing (sometimes unmet) requirements. In this talk, we’d like to share some valuable insights on how to collaborate more effectively with the end-users of our products. We’ll explore whether reaching out to customers only during acceptance testing is truly sufficient. Additionally, we’ll discuss practical strategies to expand our test coverage in a way that minimizes the risk of faults slipping into production — all without significantly increasing our workload.