Gathering Porto’s QA & Tech Community
What attendee will learn this year?
Here are the Topics
All
Berlin
Toronto
Virtual
San Francisco
Hyderabad
Talk: Engineering & Leadership Excellence in the Age of AI
The rise of intelligent systems is reshaping what it means to build, scale, and lead in technology. Engineering leaders today must deliver at unprecedented speed while ensuring every layer—architecture, data, and human decision-making—remains trustworthy. Charu unpacks how the craft of engineering is evolving as AI becomes an active participant in design, testing, and delivery. She discusses how to lead teams that balance experimentation with discipline, translate complexity into clarity, and build systems that improve with every release. The session offers a forward look at how excellence in 2026 will be defined not just by performance, but by responsibility, resilience, and the ability to lead through constant change.
Charu Srinivasan
Exploratory Testing
Functional Testing
Hyderabad
Talk: Agentic Systems — The Next Step in Autonomous Engineering & Quality
Engineering is entering a new phase where systems don’t just follow instructions — they take initiative. Jaydeep introduces how agentic AI is changing the way teams design, build, and validate software. He explains what happens when AI begins coordinating tasks, analysing code, suggesting fixes, and influencing release decisions. The session focuses on where these systems help, where they can go wrong, and what leaders must do to keep quality and reliability in check. Expect a practical look at using agentic capabilities responsibly while still maintaining clarity, control, and confidence across engineering and QA workflows.
Jaydeep Chakrabarty
Exploratory Testing
Functional Testing
Hyderabad
Talk: Leading for Quality in the Age of AI
As AI becomes embedded in products and processes, the meaning of “quality” is shifting. Vanya focuses on how leaders can redefine quality for their teams — not as a phase, but as a shared mindset that guides decisions, behaviours, and standards. She explores how to create clarity around expectations, build cross-functional ownership, and shape cultures where speed doesn’t override judgment. This talk gives leaders a forward-looking view of how quality evolves when AI influences design, delivery, and user experience — and how strong leadership can keep that quality visible, consistent, and intentional.
Vanya Seth
Exploratory Testing
Functional Testing
Hyderabad
Talk: Platform Engineering to achieve Quality with Speed
Modern engineering teams are expected to deliver fast without letting reliability slip. This talk explores how platform engineering provides the foundation to achieve both. Swetha breaks down how well-designed platforms remove friction, improve visibility, and create predictable paths to production. She explains how teams can use shared services, guardrails, and strong feedback loops to keep quality consistent even as AI-driven development accelerates delivery. The session focuses on practical steps leaders can take to build platforms that bring stability, speed, and confidence to engineering teams.
Swetha Yalamanchili
Exploratory Testing
Functional Testing
Hyderabad
Talk: From Test Automation to Intelligent Quality: Unlocking Business Value with AI
Most organizations have automated testing but struggle to translate it into tangible business impact. With AI, the next evolution isn’t more automation-it’s AI-powered intelligent quality engineering.
This session explores how AI and GenAI redefine testing through predictive defect detection, AI-driven test generation, autonomous maintenance, and adaptive quality gates that learn from production data. By shifting focus from test execution metrics to business value and release confidence, QA engineering teams can move from reactive testing to proactive quality assurance that drives measurable outcomes.
Pankaj Kumar
Exploratory Testing
Functional Testing
Hyderabad
Fireside Chat: Leading Through Change: How Leaders Build Resilient Teams
Change brings opportunity, but it also brings hesitation, fear, and pushback. In this conversation, Nirmala & Swetha talk openly about the real challenges leaders face when driving new automation or AI initiatives — from resistance on the ground to moments when teams simply aren’t ready. They discuss how to handle tough conversations, address fears of job loss, deal with underperformance, and prevent leaders in the middle from slowing progress.
The session also explores how to upskill teams when capabilities do not match expectations, how to keep people motivated through uncertainty, and how leadership traits have evolved in the AI era. It’s a practical, honest look at what strong, resilient leadership really requires today — clarity, empathy, firmness, and the ability to help teams grow through change rather than fear it.
Nirmala Datla
Swetha Yalamanchili
Exploratory Testing
Functional Testing
Hyderabad
Panel Discussion: Accelerating Quality with AI — The Leadership Playbook
AI is changing how engineering teams design, build, and release software — and leaders now face a new question: how do you increase speed without letting quality slip? This panel brings together leaders who work at the intersection of product, platform, and AI-driven delivery. They’ll discuss how teams can use AI to shorten feedback loops, improve decisions, and uncover risks earlier, while still keeping reliability and user experience front and center. The conversation will focus on practical leadership habits that make AI useful every day — from setting the right expectations to choosing the right problems, and helping teams balance ambition with discipline. It’s a straightforward playbook for delivering faster without losing trust.
Jaydeep Chakrabarty
Prajakt Deshpande
Shiva Kumar RV
Exploratory Testing
Functional Testing
Hyderabad
Panel Discussion: Quality in AI - Testing the omnipresent unpredictable
AI systems behave differently from traditional software — they learn, adapt, and sometimes work in ways teams didn’t anticipate. This panel looks at how to bring clarity and control to systems that are always shifting, through three essential lenses: platform engineering built on scalable, open frameworks; data-science methods for observing model behaviour and drift; and product-scale rollout strategies that keep reliability front of mind. The conversation will cover how to test behaviour that isn’t deterministic, how to prepare for failures no one scripted, and how to build trust in AI-rich products using open foundations and real-world practice.
Saurabh Mitra
Shravan Koninti
Shashank Chaturvedi
Exploratory Testing
Functional Testing