Overview
Developed a medical imaging SaaS platform for radiologists with AI-powered segmentation using pre-trained U-Net models. Implemented real-time collaborative annotation supporting 10+ concurrent radiologists per case with conflict resolution.
Key Features
DICOM viewer with AI-assisted ROI detection
Real-time collaborative annotations (WebRTC)
HIPAA-compliant data handling architecture
ML model serving via FastAPI
Annotation version control
Architecture
FastAPI microservices, PyTorch model serving with TorchServe, WebRTC for real-time collaboration, encrypted S3 storage with pre-signed URLs, audit logging for compliance.
Technology Stack
ReactPythonFastAPIPyTorchWebRTCPostgreSQLDockerAWS S3
Detailed technical blog post coming soon. This project showcases production-grade architecture and real-world problem solving.