AI Health Diagnostics App

The Problem

Clinicians needed a mobile-friendly way to review medical imaging and receive AI-assisted treatment suggestions without wrestling with heavyweight desktop tooling.

My Role

Software Engineer building the mobile client and parts of the imaging/AI backend.

Approach

• Built a Flutter client capable of loading and viewing DICOM medical images.
• Engineered backend services for DICOM processing and treatment-suggestion algorithms.
• Integrated machine-learning APIs to surface AI-powered diagnostic features.
• Worked directly with medical professionals to validate accuracy and compliance.

Outcome

A diagnostic workflow that put imaging review and AI suggestions into clinicians' hands on mobile, with a pipeline designed around medical-grade accuracy.