NeuroLab
AI-assisted EEG analysis platform for clinicians and researchers.
AI · Python · TypeScript · Healthcare
What it is
NeuroLab is an AI-assisted EEG analysis platform for clinicians and researchers. It brings EEG review, analysis, and supporting clinical workflows into one focused product.
The goal is to make complex neuro-diagnostic data easier to work with while keeping clinical judgment with the people using the system.
My role
I founded NeuroLab and lead its product and engineering work.
I am responsible for shaping the product, building the application, and integrating the AI-assisted EEG analysis workflow.
Technical architecture
- Frontend
- TypeScript web application for EEG and clinical workflows
- Backend
- Application APIs coordinating analysis and product workflows
- Database
- Structured storage for users, studies, and analysis records
- Infrastructure
- Deployed web and analysis services
- AI / services
- Python-based EEG analysis services
Interesting engineering problems
- Designing AI inference as decision support rather than a replacement for clinical review.
- Representing EEG studies and analysis output in a structure that remains useful to clinicians and researchers.
- Keeping analysis-heavy workflows responsive while handling sensitive healthcare data carefully.
Results
The platform is live and under active development.
Usage and clinical performance metrics are not publicly disclosed yet.
Links
Live · GitHub: Private · Case study: This page