Most conversations about AI get the goal backwards. It's not about getting rid of the human element. It's about freeing them to do the rewarding part that actually requires everything they're skilled in.

Nobody feels good re-typing the same fields off the hundredth document, or babysitting a portal for a file that might post at 2 AM, or being the rubber stamp on whatever a model outputs.

That isn't augmentation or modernizing the workforce or increasing velocity. That's turning someone skilled into a robot. And a robot doesn't make the connections that solve hard, meaningful problems.

Every system I build starts from the opposite bet: let AI take the repetitive part, and protect the part that actually needs a person, like deciding whether something's actually wrong, catching exceptions to the rules, or seeing connections between data not modeled before.

That distinction shows up in every product and feature I build. Not because it's a rule I follow, but because the alternative, systems that quietly replace judgment instead of protecting it, produce work nobody's proud of on either side of the screen. Do it right, and the output earns enough trust that someone will actually act on it. That's the only outcome that matters.

Background

2021 to 2026

Alkymi: AI document automation, institutional financial services

First product hire, later Director of Product

Took the company from a seed-stage OCR prototype to Series B. Drove the shift from one-off feature requests to a modular, extensible platform customer success could tailor per client, and restructured pricing from a per-page model to managed services.

2017 to 2021

Booz Allen Hamilton: Technical consulting and product development

Technical Product Manager

Led a forward-deployed team, myself plus three PhD engineers, embedded on client site, building a machine learning database analysis application in an airgapped environment whose results expanded the contract ceiling by 900%, work I helped write into the contract itself.

2012 to 2017

University of California, San Diego

Computer science, specialization in artificial intelligence.

Minor in Business, Rady School of Management.

Range

Technical enough to work through architecture with engineers, direct yet amicable enough to tell a client what won't work, clear enough to brief a room of executives in the two minutes they have in their schedule.
I've presented and demoed live, in English and Japanese, to audiences from the C-suite to interns. I've sat with engineers scoping what's actually feasible, protecting their time from vague asks while making sure future builds are considered in the architecture. I also have conversational French, rustier than my university years but still useful more often than expected in cross-border work.

Contact