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Co-founder and product/technical lead

Stealth Healthcare Workflow Product

Applied AI workflow system for healthcare document operations.

Synthetic regulated workflow mockup showing intake, extraction, review, routing, and audit evidence.

Problem

Healthcare teams often depend on manual document handling, review, routing, and traceability. The hard part is not only model output; it is converting uncertain information into a reliable operating workflow that clinical, administrative, and technical stakeholders can trust.

Users

Clinical reviewers
Administrative teams
IT and digital health stakeholders
Department workflow owners

What I built

Turned stakeholder discovery into product specifications, review states, and a roadmap for a healthcare workflow product.
Built intake, classification, extraction, validation, exception handling, routing, human review, and audit-history surfaces.
Architected the full-stack product across backend services, frontend workflow surfaces, database design, authentication, containerized deployment, and observability.

AI / technical approach

LLM-assisted classification and structured extraction for operational workflows where accuracy and reviewability matter.
Model-swappable OCR and text analysis so the workflow is not locked to one provider.
Schema checks, required-field logic, and review states around model output before downstream routing.

Reliability controls

Human approval remains in the path before final action.
Source wording stays visible next to normalized fields so reviewers can inspect the evidence.
Exception queues, audit events, status visibility, and operator dashboards make ambiguity visible instead of hidden.

Business or operating impact

Moved from prototype to pilot-style testing, executive stakeholder demos, and due-diligence conversations.
Tested against a large document set in a department-level operating context.
Modeled material administrative time savings in a department-level scenario.
Built a scenario-based value model to size the operating opportunity and prioritize where automation mattered most.
Refined the product after learning that the real department workflow differed from the first assumed workflow.
Created a shareable case-study layer that shows product judgment, workflow design, and reliability thinking.

What I can walk through

Workflow mockup showing the review, routing, and audit model.
Architecture-level discussion of how model output becomes usable operational work.
Interview-ready walkthrough of the stakeholder discovery, product iteration, and reliability decisions.