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Clinical AI

Reliable workflows for a growing clinical AI platform

Rebuilt customer-facing workflows, designed scalable backend processes and improved performance across an AI healthcare SaaS platform.

Company
Heidi Health
Role
Full Stack Engineer
Period
Sep 2025 - Feb 2026
Heidi Health clinical AI workspace with transcription and note tools

Context and scope

I worked across a customer-facing clinical AI product, connecting reusable interface work with FastAPI services and asynchronous backend processes.

What I worked on

  • Rebuilt core workflows with React, TypeScript and Storybook using reusable component architecture.
  • Designed REST APIs and asynchronous backend processes with FastAPI.
  • Improved page load performance and perceived responsiveness across frontend and backend layers.
  • Collaborated with product, design and QA, and contributed to incident response and post-incident reviews.
Outcome

The work strengthened responsiveness, scalability and reliability as the product and its customer workflows evolved.

React / Next.js / TypeScript / Storybook / Python / FastAPI / MongoDB / DataDog