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Daniel Wiseman

@danielwiseman

Message

I build scalable healthcare platforms, APIs, and real-time clinical data experiences for high-volume systems.

United States

Message

What I'm looking for

I’m looking to advance AI observability and build seamless user experiences for complex distributed systems, particularly in healthcare and SaaS.

At CVS Health, I build scalable fullstack healthcare applications that improve clinical workflow efficiency, support more than 500,000 monthly transactions, and maintain 99.99% availability. I create React and TypeScript experiences alongside Python and Go services, including real-time clinical data visualizations that help providers make decisions faster.

Previously at Dignity Health and Meter, I delivered FHIR-compliant APIs, SMART on FHIR integrations, event-driven pipelines, and SaaS microservices for high-volume data platforms. I’m drawn to complex distributed systems where interoperability, AI-enabled workflows, observability, security, and user experience must work together.

Experience

Work history, roles, and key accomplishments

Senior Software Engineer

CVS Health

Jan 2022 - Aug 2026 (4 years 7 months)

Engineered scalable fullstack healthcare applications using React and TypeScript, improving clinical workflow efficiency by 30%. Architected RESTful and GraphQL APIs integrating FHIR and HL7 v2 standards for interoperability with EMR/EHR systems.

React TypeScript Python Go REST APIs GraphQL FHIR HL7 D3.Js AWS Kubernetes Terraform HIPAA EMR EHR Data Visualization

Senior Software Engineer

Dignity Health

Aug 2018 - Dec 2021 (3 years 4 months)

Developed fullstack applications using React, TypeScript, and Python for clinical decision support and patient engagement. Designed FHIR-compliant APIs and SMART on FHIR integrations for longitudinal patient record access.

React TypeScript Python FHIR SMART on FHIR Authorization Event Driven Architecture Machine Learning SOC2 PHI PII Data Streaming

Backend Engineer

Meter

Jul 2015 - Jul 2018 (3 years)

Developed backend microservices in Python and Node.js for a high-volume SaaS platform supporting real-time data ingestion and analytics. Implemented scalable RESTful APIs and event-driven systems to process millions of data points daily.