About

I'm a builder coming from a decade in behavior science and performance consulting. I spent 9.5 years at Vega Factor, where I was PM on v1 of an AI-powered manager development product, then the consultant who deployed it across Fortune 500 organizations — hundreds of workshops, executive coaching, large-scale change management. I left in April 2026 to focus full-time on what AI is doing to how teams work, and what teams need to do to keep up.

I joined Vega Factor in 2016, a team of less than 20 people. The bet was on something that didn't quite exist yet: software that could help managers become better leaders the way personalized coaching does, but at scale. I was the PM on that product. I shipped its first version. Then I spent the next several years deploying it in the field - running workshops, coaching senior leaders, designing programs for clients like Slack, Grab, Prudential, Novo Nordisk, and many others.

The work taught me three things that still shape how I think.

First: tools don't change behavior. Systems do. The teams that get value from a new system aren't the ones with the best feature set - they're the ones who redesigned their actual work around the new capability. This was true for performance management software in 2016. It's true for AI in 2026.

Second: the highest-leverage work in any organization is at the team level, not the individual level. Individual productivity tools cap out. Team operating systems compound. Most companies invest in the former and ignore the latter, and most consulting practices follow the money.

Third: behavior change is harder than people think, and easier to design for than people realize. The methodologies exist. They've been refined over decades in performance science, instructional design, and adult learning. They just don't usually meet the people building the tools.

In my last role at Vega, I was Head of Product Growth and Chief of Staff to the CEO. The work included running a major change management engagement for a Fortune 50 healthcare company navigating two consecutive M&A announcements — workshop design and delivery for 500+ people leaders, executive coaching at the SVP level, weekly cadence with the C-suite. It was the hardest version of the work I'd ever done, but also the most rewarding.

Leaving was a tough decision. Vega Factor does amazing work. But I wanted to hone my skills with a wider toolkit. AI is going to change how teams operate over the next 5-10 years more fundamentally than the internet did. I want to be at the frontier of that transformation, helping pre-scale organizations cement AI-native ways of working that maximize their human potential. I'm working on a two-sided solution.

The AI Fluency Program is the first piece. It's a structured cohort program that takes teams from a mix of AI users and avoiders to a shared baseline of fluency, with each participant leaving with at least one AI workflow they can use immediately. It's grounded in the behavior change methodology I spent a decade refining, applied to the work of building AI fluency at the team level.

The other is a build. I'm developing AI-native work systems — tools that let teams work with AI as a true participant rather than just an assistant. The current prototype is an agent that handles coordination work for the team I'm building it with. The longer vision is a work operating system that makes the human-to-human AND human-to-AI collaboration actually work at scale.

Both projects share a thesis: the next leap in team performance comes from redesigning work around AI participation, not from giving individuals better AI tools.

Harvard, BA in Psychology with a focus on behavioral science. CS secondary. Apprenticeship at the Daniel Gilbert Lab during undergrad. I think in systems, and I treat the social sciences and the engineering disciplines as cousins. Currently shipping production work with Claude Code and Codex as a non-coder, which says a lot about where the technology actually is.

NYC. Music — performing artist and Business Manager of local hip hop collective TribeWild. Reading: heavy on philosophy of science (David Deutsch is foundational for me), behavioral economics, and increasingly, alignment research. Walks in Central Park as many times a day as I can.