Healthcare product leader · software builder · Chicago & Remote
After years leading healthcare products, I started building the systems myself.
Over the last two years that has meant healthcare intelligence and agent infrastructure, alongside independent technical software.
The identity layer I built for Doximity Dialer still carries more than 300,000 calls on an average workday across 250+ health systems — 9 years after I left.
Current work
Primary builds: healthcare intelligence, agent permissions, and browser graphics.
More work Whether Refract Fast Harm, Slow Repair
What I'm brought in for
Across more than a decade in healthcare I originated Doximity Dialer, led product organizations, deployed hospital systems, and co-founded Andwise. Andwise settled the user question and could not settle who would pay — a decision that lived in the architecture, not the roadmap. In 2024 I shut it down rather than build that company. The next thing I built, I built myself: I can now enter before the roadmap exists, build an unproven idea far enough to learn whether it holds, and bring senior judgment to what happens next.
Selected work
The patient sees the office, not the cell phone
A physician calling a patient had two bad options: the hospital desk phone, or a personal cell that showed 'Unknown Caller' and gave the number away for good. I built the identity layer that let the call come from their own phone while the patient saw the office number — so it got answered, and the cell stayed private.
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Four specialty programs on one routing architecture
High-acuity cases — Surgery, Oncology, Behavioral Health — were stalling in exception queues, and the default was four separate products. I put all four on one routing architecture tied to clinical accountability, so a nurse and a navigator worked from the same facts and every case had an owner. Slower to build, faster to scale.
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Reading the contract before the physician signed it
Early-career physicians were signing employment contracts with no unbiased read of what was in them. Andwise's software read the contract, flagged the clauses worth arguing about, and stopped there — it did not advise — with a named reviewer on a deadline behind every analysis before the physician acted.
Read case study →Explore
- Decisions Four calls, with the reasoning as I recorded it before the outcome was known.
- Framework Ethotechnics — a proposed framework for making consequential AI claims verifiable and correctable.
- Reliance Lab One composite deployment, six months in, with new information on the table. Decide whether to keep relying on it.
- Writing Essays on AI governance, institutional power, and cognitive scarcity.
- Research The open questions behind the method, and what would settle them.
Outcomes at scale
- 35K+ physicians surveyed Doximity — I directed the data-science team that turned the survey into a predictive salary model
- 4 specialty-care programs launched Transcarent — Surgery, everyday urgent care, Behavioral Health, Oncology Care
- 1,200+ physician users Andwise — I co-founded it
- $5M revenue Doximity Talent Finder — I grew it 60% YoY
- 14 cross-functional team led CancerCompass — onshore and offshore, across three products
Organizations I've worked with
Get in touch. I work best where the product category is still emerging — formulating the technical object that doesn't yet exist, building it far enough to test whether it works, and bringing senior product judgment to what to build next. Also open to NextConsensus pilots and advisory work.