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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.