Satej Sahu
Data engineer building scalable ML systems and pragmatic agentic AI at Zalando.
Satej builds scalable data and machine learning systems at Zalando. He focuses on taking AI features from prototypes to reliable production applications, keeping a close eye on architectural pragmatism and efficiency.
His recent work involves taming the costs and latency of agentic AI. Instead of throwing more compute at workflows, Satej designs smart caching patterns and guardrails to make agent systems sustainable. Before Zalando, he shaped data architecture for Boeing, Adidas, and Honeywell.
Away from ML pipelines, he writes about web development and authored two books on PHP programming.