He has spent thirty years in enterprise fintech, payments, and regulated industries — building, advising, and scaling systems where output accuracy is not optional.

His current work focuses on intent engineering — the practice of converting interpretive prompts into operational context before a model ever generates a response. The thesis: you do not fix hallucination by asking the model to try harder. You fix it by constraining the probability space before generation begins.

VertixIQ is the company. This site is the thinking behind it.