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Praveen
Gunasekaran
Chief AI Architect, Engineer
Visa
My journey with artificial intelligence began at 18 when I first heard about AI. I realized AI can take a system from automatic to autonomous. I immersed myself learning AI or whatever courses that led me to it like Cybernetics and Steganography, laying the groundwork for what would become a lifelong passion. From building algorithmic trading systems on Wall Street to developing the Generative AI platform at Visa that’s now driving enterprise-wide adoption, I’ve spent 16+ years at the intersection of engineering and AI innovation. I’ve led teams that reduced ML deployment times from months to weeks, architected systems processing billions of data points daily, processing trillions of pixels in an hour, and pioneering trusted , secure and safe Multi AI agentic systems to achieve 10x productivity gains across global operations. What drives me isn’t just the technical challenge but ensuring equitable access. Having witnessed how technological monopolies can create lasting inequality, I’m committed to democratizing AI. This technology should uplift humanity broadly not concentrate power in the hands of a few. I believe we’re at the dawn of a new scientific revolution, one that will allow us to solve problems beyond our current imagination. My work focuses on building the bridges that will ensure this revolution benefits everyone, creating a future where our children can focus on even greater challenges.
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29 July 2026 12:00 - 12:30
Who broke the workflow? Diagnosing failures across multi-agent systems
As agent workflows become more distributed, understanding why a task failed becomes significantly harder. Teams often struggle to pinpoint whether the issue originated from an agent decision, a tool call, a model response, or an interaction between multiple components. This session examines how organizations are building observability into multi-agent systems to diagnose failures faster and reduce operational complexity. From tracing workflows and monitoring agent interactions to identifying root causes across interconnected systems, we'll explore the techniques helping teams maintain reliability at scale. Attendees will learn how leading organizations are improving visibility into multi-agent workflows and reducing the effort required to troubleshoot production issues.