About

Systems for difficult business problems.

I help organizations solve growth, information, product, and decision problems using software, AI, and human judgment where each works best.

How I work

Good problem-solving starts with clarity.

That means clarifying assumptions, tradeoffs, constraints, and what the problem actually is — before choosing tools, AI, or implementation.

From there, the work becomes deciding what belongs to software, what AI can help with, and where human judgment should lead.

Approach

Discuss the actual problem directly
Avoid premature solutions
Surface hidden assumptions and false certainties
Clarify boundaries and constraints
Frame the problem before choosing tools
Use software, AI, and human judgment where each works best
Build systems that fit real-world behavior and constraints

Background

Three domains shaped how I work

Systems and engineering

A technical background in electrical engineering, nonlinear systems, RF power amplifiers, and industry work at Nokia and RFIC shaped how I think about structure, constraints, signals, and distortion.

Human judgment and interpretation

A PhD in social psychology focused on incomplete information, cooperation, perspective, and how people interpret situations when they do not see the same things.

Uncertainty in practice

Nearly a decade as a professional poker player added practical training in hidden information, adaptation, risk, and decision-making before certainty is possible.