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Programme Schedule

Featured Speakers

Suresh Kumar V

QA Lead,

Screening Eagle Dreamlab

Siva Varma

Engagement Manager, Tata Consultancy Services

Fireside Speaker

Poorvi Ladha

Head of QA (Risk Management Group)

DBS

Panel Discussion Speaker

Priyank Chawda

Expert, AI Testing & Quality Engineering, ABeam Consulting

Priyank Chawda is a Quality Engineering Leader with nearly two decades of experience in Banking and Financial Services, specializing in large-scale enterprise transformation programs. He has led end-to-end testing strategy, Test Center of Excellence (TCoE) setup, and quality governance across complex, multi-country initiatives, delivering predictable and risk-aware outcomes aligned with business and regulatory expectations.

He brings deep expertise in building scalable testing ecosystems across functional, automation, and UAT layers, with a strong focus on standardization, operating model efficiency, and measurable quality outcomes. Priyank has led global teams across onshore-offshore models, driving adoption of modern testing practices in high-stakes, regulated environments.

Currently, he is focused on integrating AI into Quality Engineering—leveraging it for intelligent test optimization, risk identification, and improved decision-making, while ensuring governance, transparency, and control in regulated domains.

Jane Qiu Jiazhen

Senior Manager in Quality Engineering, Traveloka

Jane Qiu Jiazhen is a Quality Engineering leader focused on scalable automation, release governance, and quality engineering systems for large-scale technology organizations. She has led cross-regional QA and SDET transformation initiatives across fintech and travel platforms in Singapore, China, and Indonesia.

Her current work focuses on advancing AI-native quality engineering and intelligent testing systems through practical experimentation, iterative adoption, and real-world software delivery practices.

Learn from the Testing Experts

Featured Speakers

Suresh Kumar V

QA Lead, Screening Eagle Dreamlab

Siva Varma

Engagement Manager, Tata Consultancy Services

Fireside Speaker

Poorvi Ladha

Head of QA (Risk Management Group) DBS

Panel Discussion Speaker

Priyank Chawda

Expert, AI Testing & Quality Engineering, ABeam Consulting

Currently, he is focused on integrating AI into Quality Engineering—leveraging it for intelligent test optimization, risk identification, and improved decision-making, while ensuring governance, transparency, and control in regulated domains.

Jane Qiu Jiazhen

Senior Manager in Quality Engineering, Traveloka

Her current work focuses on advancing AI-native quality engineering and intelligent testing systems through practical experimentation, iterative adoption, and real-world software delivery practices.

NAVIGATE

Suresh Kumar V

QA Lead, Screening Eagle Dreamlab

AI-Driven Migration: Converting Legacy Cypress Test Suites to Playwright at Scale using AI agents

Many QA teams today face a common challenge: large Cypress test suites that have grown over time but struggle to scale with modern automation needs such as cross-browser testing, faster CI pipelines, and improved reliability.

Playwright has emerged as a powerful alternative with built-in parallel execution, stronger auto-waiting capabilities, and support for Chromium, Firefox, and WebKit browsers.

However, migrating existing Cypress frameworks can be complex and time-consuming.

This talk introduces an AI-assisted migration strategy that helps teams modernize their automation frameworks efficiently.

The session will cover:

The talk will include a live demonstration of AI converting a Cypress test into Playwright code.

Attendees will walk away with practical strategies to accelerate automation modernization using AI.

Takeaways from your talk

Siva Varma

Engagement Manager, Tata Consultancy Services

AI Can Run the Tests. But Can It Carry the Blame

AI Tangent:

Takeaways from your talk

The attendees will understand why a full handover to AI is irresponsible for quality engineering—non-deterministic systems can fail catastrophically, even if they are seemingly perfect.

They’ll identify key risks that traditional testing methods miss—false confidence in incorrect but certain answers, toxic or dangerous outcomes, unseen bias, adversarial attacks that defeat defences, and data breaches that destroy privacy and trust.

The attendees will gain a battle-hardened human-centric approach that combines automation speed with essential human oversight—enabling ruthless risk prioritization, efficient environments, and built-in explainability, resilience, and governance from day one.

The attendees will learn how to assess trust-critical qualities like reliable judgment, transparent decision-making, rock-solid failure modes, and compliance—moving quality engineering from firefighting to proactive assurance.

Finally, they’ll leave fired up with how to move quality engineering into a strategic trust engine—accelerating safe AI innovation and unbreakable stakeholder trust into 2026 and beyond.

Poorvi Ladha

Head of QA (Risk Management Group), DBS

A Technology Assurance and Quality Engineering leader with over 15 years of experience helping large, regulated organizations reduce delivery risk, improve release confidence, and scale quality as a strategic capability.

In addition, she has built and led QA organizations of 70+ members, managed multi-vendor delivery models, and partnered closely with Technology, Risk, and Audit leadership to support regulatory readiness and control assurance.

QA Lead,

Screening Eagle Dreamlab

Head of QA (Risk Management Group)

DBS