01

The human part is not the soft part. It is the hard part.

Everyone is building with AI. The difference is how. I specialize in creating product experiences where human creativity and intelligent systems meet, merge, and elevate one another, not where one replaces the other.

That means building AI products on strong foundations: clean engineering, rigorous governance, and genuine empathy for the people using them. And it means having the courage to challenge the conventional wisdom that says efficiency always comes at the expense of experience.

I call it keeping the code and breaking the rules. The code is the craft: product discipline, responsible AI, earning and keeping user trust. The rules are the assumptions worth questioning, that AI has to feel impersonal, that moving fast means moving recklessly, that B2B software cannot be delightful.

02

Where I've done this.

My clients have ranged from seed-stage startups to maturing scale-ups in cybersecurity, GovTech, and AI-native tools. I've launched generative AI products to thousands of organizations, built and scaled AI and data science teams, led acquisition diligence on AI startups, and served as an interim operational leader when companies needed steady hands during transitions.

Before consulting, I built products across AI, blockchain, and enterprise software at companies of every size.

Engineering bandwidth goes to the hard problems. The small stuff doesn't pile up.

03

Sharing what I know.

I teach about AI through O'Reilly and Pearson, and have guest lectured on AI and emerging technologies at Columbia, West Point, and universities across North America.

I write a monthly column on AI, strategy, and leadership for Forbes, and my perspective on technology has been featured in Rolling Stone and The Atlantic.

In 2025, I was nominated for the Mayfield | Divot AI List, recognizing emerging leaders shaping AI's future.

Education

B.S. in Industrial & Operations Engineering, University of Michigan.