User-centered applied AI — across strategy, design, and engineering. Most engagements blend all three.
End-to-end work on AI-powered products — from interaction design through to shipped code. I design the user-facing layer of AI systems: how outputs are presented, how uncertainty is communicated, where human judgment stays in the loop. Then I build it: knowledge graphs, RAG pipelines, LLM integration, full-stack frontend. The design and the engineering inform each other.
Good fit for teams building AI products who need someone who thinks about both the experience and the implementation.
Strategic and hands-on guidance for organizations investing in AI. I help teams identify where AI will genuinely improve how people work — and design the product around that, not around the model. This includes AI interaction design, workflow analysis, system design, and a clear-eyed view of what LLMs can and can't do reliably.
Good fit for organizations moving from AI experiments to production, or teams whose AI adoption is lower than expected.
Practical sessions on building AI products people trust and use — covering user-centered AI design, LLM integration, knowledge graphs, and human-in-the-loop system design. Grounded in real production decisions. Every session ends with something immediately applicable.
Good fit for product and engineering teams who want to build AI capability the right way from the start.