About
I help organizations solve growth, information, product, and decision problems using software, AI, and human judgment where each works best.
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.
Background
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.
A PhD in social psychology focused on incomplete information, cooperation, perspective, and how people interpret situations when they do not see the same things.
Nearly a decade as a professional poker player added practical training in hidden information, adaptation, risk, and decision-making before certainty is possible.
Systems I have defined and built.
AI-powered text analysis for identifying framing and bias patterns in articles, news coverage, and written communication.
Demonstrates: Pattern extraction + structured interpretation
AI-assisted systems for prospect research, qualification, and personalized outreach.
Demonstrates: Automation + AI workflow integration
Human-guided aesthetic refinement systems for evaluating and improving images.
Demonstrates: Where human judgment still matters
Human-guided website evaluation systems for improving clarity, trust, usability, and communication.
Demonstrates: Human feedback systems + structured interpretation
AI-powered systems for analyzing surveys, reviews, feedback, support conversations, and other open-ended text datasets.
Demonstrates: Large-scale qualitative analysis + insight extraction
Clarify what is actually being solved before anything is built.
Decide what belongs to software, AI, and human judgment.
Design and implement a system that works in practice.
Most systems underperform because at least one of these steps is wrong.
Let’s clarify the problem, allocate the right intelligence, and build the right system for you.
