A short list of the work I am building or have chosen to keep public because it says something real about what I care about.
Most of it falls into the same pattern: systems that look promising in theory are common; systems that survive cost, workflow, and real use are rarer. These are the projects where I think that gap is worth taking seriously.
The two main companies are where most of my operating time goes. One is software that touches the chart. The other is hardware meant for environments where complexity and price kill adoption faster than any competitor does.
Co-Founder & Head of Clinical AI
Clinical documentation systems for emergency and hospital medicine. My focus there is reliability, evidence grounding, and failure modes that physicians can actually inspect.
This is the part of my work closest to the chart: building systems that have to be useful to physicians without taking liberties with the record.
Founder & CEO
Single-use video laryngoscopy hardware and related software built to get airway tools into more trucks, more departments, and more difficult settings.
This is the device side of the same instinct: if a tool is too expensive or too operationally annoying, it does not matter how elegant the idea was.
These are not here to make the repo list look busy. They are public because they carry ideas I actually want attached to my name: clinical reasoning support, documentation safety, and evidence-based product thinking.
Chest pain risk support work built around clinical conversation data, differential framing, and physician-authored decision traces.
It reflects how I think about clinical support systems: useful signal early, explicit uncertainty, and no pretense that the model is the clinician.
Patterns for clinical documentation systems, extraction-first prompting, and validation design.
This is the public technical layer behind a lot of my writing about chart safety, constraint design, and evidence grounding.
A public product for evidence-based compound research, stack planning, and cycle tracking.
It is a broader product and research surface, but it still reflects the same bias toward evidence, structure, and practical use over hype.