TechFusion 2025 - AI, Cybersecurity, and Emerging Trends in Computer Science

Rajesh Sura Profile

Rajesh Sura

Rajesh Sura

Biography

Rajesh Sura is a globally recognized leader in Data Engineering & Analytics with 16+ years of experience architecting enterprise-scale AI and decision-intelligence platforms. As Head of Data Engineering & Analytics at Amazon, Stores organization, he has designed and scaled cloud-native data systems serving tens of thousands of users and influencing multi-billion-dollar business decisions across retail, supply chain, and digital commerce.

Research Interest

Abstract

Agentic AI for Retail: Architecting Self-Optimizing Decision Systems: Retail AI is transitioning from predictive modeling and post-hoc analytics toward agentic systems capable of reasoning, planning, and executing decisions in a governed loop. This talk outlines an architectural approach for building such systems using semantic grounding, multi-agent orchestration, verifiability layers, and decision-feedback integration. Emphasis is placed on design principles rather than individual use cases, how to evolve from insight delivery to decision execution without compromising reliability, safety, or accountability. Attendees will learn how to layer agentic AI on top of existing retail data and cloud architectures, how to structure human-in-the-loop governance for high-stakes decisions, and how to establish maturity stages for adoption. The session provides a blueprint for leaders and engineers seeking to shift from ?AI that predicts? to AI that decides responsibly in retail environments.