Head of Engineering, AWS Central Economic, Seattle, WA

Title of the Talk :
Designing Self-Evolving Data Ecosystems: How Intelligent Infrastructure Learns, Adapts, and Improves Decision-Making Over Time

Abstract of Talk:
Modern enterprises are drowning in static pipelines and decaying dashboards. This talk introduces the concept of self-evolving data ecosystems systems that not only analyze but learn from user behavior, feedback loops, and operational outcomes. We’ll explore how to architect platforms that rewire themselves in real time: adjusting model features, retraining pipelines, and rewriting business logic based on both human feedback and autonomous agent learning. With examples from HR planning and fintech automation, we’ll unpack the convergence of data engineering, LLMs, and control theory to build systems that optimize themselves continuously shifting BI from retrospective to regenerative.