Hi there,

I’m an independent consultant who helps teams build reliable LLM workflows that turn unstructured documents and conversations into structured, usable outputs.

My work focuses on turning messy inputs into reliable structured information and workflow decisions, with evaluation built in so these systems are dependable enough for real business use.

I write about building AI systems that are grounded in data, evaluation, and practical workflow design. Much of that writing comes from a recurring pattern I’ve seen across projects: unstructured information only becomes useful when it can be turned into reliable outputs that fit into an actual business process.

I’ve applied these principles across real-world projects, and I share what I learn here for others building similar systems.