I have received the call to study the ancient language of machines.
I recently graduated with a B.S. in Applied Health Sciences and am based in San Francisco. My background spans laboratory workflows, clinical trial coordination, and regulatory affairs.
I'm moving toward healthtech, especially wearable and medical device research. Alongside that, I'm learning Python and JavaScript/TypeScript and building practical tools around study workflows, evidence review, and human oversight.
A review workspace for healthcare agent responses. Reviewers compare responses with source evidence, score them, tag failures, and choose whether to approve, revise, or escalate. Approval gates check scores, evidence, privacy, and required handoffs.
The cases are synthetic, and review records stay in browser storage.
Demo · Code · Case study
A regulatory training tracker for clinical study teams. It tracks protocol and amendment training by study and staff member, shows overdue acknowledgments, and previews follow-up emails with filing notes.
The hosted demo uses synthetic data, blocks record changes, and does not send emails.
Reusable interface patterns for citations, uncertainty, feedback, response comparison, and human review. Includes Model Behavior Studio for reviewing candidate responses and TrialSense for clinical-trial diligence.
Feedback selections carry into review exports. The app is a frontend prototype with static scenarios and local UI state.
A food-photo app that ranks likely San Francisco restaurants and cafes. It strips embedded image metadata before provider analysis and presents guesses with uncertainty. Replacing or removing a photo cancels the pending analysis.
Demo · Code · Product notes
I start with a workflow problem, define what the tool should do, and check its behavior against those requirements. I use AI coding tools as part of my learning and prototyping process. I own the requirements, product decisions, review criteria, and verification, while I keep building my coding fundamentals.
I'm interested in clinical study operations, research coordination, regulatory operations, and implementation work with healthtech, wearable, and medical device teams.