Webinar

Test Smarter: AI-Powered Quality Engineering at Scale

  • Calendar22nd May 2025
  • Clock10:00 - 11:00 AM IST
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Panelists
 
Abhishek Das
Quality Engineering Manager
ELSEVIER
Abhishek Das is a Passionate Quality Engineering Manager with 10+ years of experience driving feature quality through advanced test automation and high-performing teams. Expertise in bridging coverage gaps via cross-functional collaboration between business and engineering, consistently exceeding expectations.
Mukul Lele
Senior Principal Product Manager
BrowserStack
Mukul Lele is a Senior Principal Product Manager at BrowserStack, where he leads multiple products in the Automation suite. Drawing on his strong background in Engineering and Quality Management, Mukul brings a deep understanding of end-user needs to define product strategy and roadmap. He is passionate about solving real customer pain points and building intuitive, impactful experiences that help users become more productive and meet their organizational goals.

About the event

As digital systems grow more complex, QA teams are under increasing pressure to deliver speed, precision, and innovation at scale. In today’s AI-first era, organizations are moving beyond basic automation—towards intelligent, agentic systems that proactively test, adapt, and learn.

Join Abhishek Das, Quality Engineering Manager at Elsevier, for an insider look at how they’re transforming their QA approach—from traditional automation to leveraging Agentic AI. Abhishek will share proven strategies, real-world outcomes, and lessons from leading high-performing teams that are reshaping test engineering across fast-paced delivery pipelines.

Why Attend?

  • From Gen AI to Agentic AI: Understand how the shift to intelligent agents is changing the way QA teams build, test, and release software.
  • Insights from Elsevier’s QA Strategy: Learn how one of the world’s most trusted tech-driven brands is aligning automation with speed, quality, and impact.
  • Actionable Advice for APAC QA Teams: Get practical frameworks, real-world examples, and tool recommendations to future-proof your QA practice.