Employer evaluation

Work with me on AI workflow implementation.

This page is for employers evaluating my work as an ICU nurse, AI workflow engineer, and infrastructure operator. The strongest fit combines clinical judgment, product delivery, data pipelines, and lab infrastructure practice.

Résumé PDF
Code samples available on request
LinkedIn[email protected]

For employers evaluating my work

The fit is implementation-heavy AI work.

The strongest signal is the mix of operator judgment, product-building, and infrastructure discipline. The ideal role is close to real workflows: mapping the work, building the system, validating the output, and operating the pieces that make it reliable.

AI implementation roles where workflow mapping and reliable delivery matter more than model hype.

Healthcare AI and clinical workflow roles that need operator judgment plus technical execution.

Infrastructure-heavy automation roles involving queues, services, data flows, and observability.

Founder/operator roles where building, shipping, testing, and operating are all part of the job.

Technical profile

Operator judgment plus a modern implementation stack.

This profile is most useful where a team needs someone who can speak workflow, code, data, infrastructure, and operational risk in the same conversation.

Clinical operations

13 years of ICU travel nursing experience and practical judgment around high-pressure workflows.

AI workflow design

Human-in-the-loop automation, structured outputs, review gates, validation thresholds, and exception routing.

Frontend implementation

Next.js, React, TypeScript, Tailwind, Framer Motion, accessibility, and responsive QA.

Data and pipelines

PostgreSQL-oriented systems thinking, historical data workflows, extraction, normalization, and validation.

Lab infrastructure operations

Docker, Proxmox-style lab operations, distributed services, queues, monitoring, and recovery practice.

Distributed systems

Comfort moving between product surfaces, APIs, workers, orchestration, and operational runbooks.

Profile links

Keep the hiring path simple.

Employers should be able to verify the profile quickly. The résumé, LinkedIn profile, direct email path, and requestable code samples are available now.

Capabilities

What I bring to employer teams working on clinical AI, workflow redesign, and infrastructure-heavy automation.

Workflow & implementation

Clinical workflow optimizationProcess redesignRequirements gatheringWorkflow testing & validationFailure-point analysisException-path designChange managementGo-live executionUAT supportSOP & playbook design

Healthcare AI delivery

Healthcare AI implementationHuman-in-the-loop AIStructured output generationReview-gate designUnstructured-to-structured transformationOCR / extraction workflowsData normalization & validation

Technical systems

Distributed systems operationsQueue-backed processingBatch & orchestrationReliability & observabilityAPI-oriented systems thinkingFault tolerance & recoverability

Start with the employer evaluation path.

Send a role, workflow, or operational problem. I can point you to the most relevant work examples and clarify whether the fit is employment, a project conversation, or no fit.