Deeply measured, quietly shipped — systems that stay in use.

ClinicalIn progress

Patient enrollment analysis

Master-studies and therapeutic-area views for enrollment planning.

Constraint

Clinical operations planned studies from scattered Excel and PowerPoint reprojections. Last-subject-enrolled shifts were hard to see across rounds, and therapeutic-area comparison lived in meetings, not in a tool.

Shipped

A FastAPI dashboard that turns historical reprojection data into the operational view used to plan and triage active studies: LSE shift tracking, per-study enrollment velocity, TA rollups, and an admin layer for inclusions and exclusions.

Outcome

One tool the operational design team brings into planning meetings instead of a folder of decks. Still expanding toward a fuller production surface.

Full case

Showing Patient enrollment analysis

6 builds · open one at a time

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Field note · practice

Hospitality stack

A bubble-tea cafe runs order entry, cash rollover, self-service kiosk, dual-screen menus, and receipt printing on one shared catalog. Flutter + Postgres at the counter; Next.js for menus; FastAPI for printers. Weekly ops check-ins; dry-run deploys before apply.

All practice

Career cut

On the Operational Design Analytics team I turn clinical-trial history into planning tools — enrollment velocity, LSE shifts, therapeutic-area rollups — that study teams actually bring into meetings. Stood up ML and data infrastructure so models could train, ship, and be observed across business units — not one-off notebooks. Call-center and feedback analytics: sentiment and keyword NLP on transcripts, Snowflake migrations, Qualtrics pipelines, and Shiny KPI boards for CX leadership.

Amgen Inc. · Corebridge Financial · AIG — Life & Retirement / Customer Office

Full career

Same proof. Two next steps.

Field note · espresso dial-in