Raghu Devayajanam

20+ years delivering mission-critical data, platform, and systems architecture across federal and regulated environments.

I architect AI systems for regulated and high-accountability environments, with a focus on turning promising prototypes into trustworthy production systems.

My work spans AI-ready data platforms, traditional ML platforms, generative AI systems, and agentic AI, with an emphasis on architectures that are secure, observable, auditable, and operationally sustainable for federal and other regulated settings.

The projects and articles on this site explore a common theme: trust in AI is not achieved through policy alone, it must be engineered into the system. From fairness gates and retrieval validation to human oversight and bounded autonomy, I design systems where governance is implemented through enforceable technical controls.

Trustworthy agentic AI is governed by its execution trajectory, not merely by its final answer.