I champion the role of language science in AI design, guiding teams to ground their systems in clarity, context, and human nuance. From semantics to pragmatics, I use linguistics as the foundation for creating interactions that reflect how people really communicate.

I lead the design of AI flows that draw from real human conversation patterns, while training teams to recognize and resolve breakdowns, apply repair strategies, and design for contextual cues. My focus is on building interactions that feel coherent, adaptive, and purposeful.

I guide cross-functional teams to design AI systems end-to-end, from retrieval pipelines (RAG) and prompt design to knowledge structures and QA frameworks. My focus is on translating complex technical capabilities into scalable, human-centered solutions that deliver lasting product impact.

I establish frameworks for ethical, secure, and accountable AI, from governance and fairness to data management and system reliability. My role is to guide organizations in embedding responsible practices into every stage of AI development, ensuring solutions that are both powerful and principled.