Tianyi Han is an Architect Solution focused on AI systems, agent governance, and decision-support tooling. His work explores how to make AI-driven systems more controllable, auditable, and reproducible through runtime policy enforcement, traceability, and replay. He is currently building systems that bridge the gap between experimental LLM applications and production-grade AI infrastructure, with a focus on governance, observability, and reliable execution.
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