Novai is a medical AI platform created to detect early-stage glaucoma using multimodal imaging and machine learning. As CTO, I led architecture, modeling, and the product’s clinical readiness.
AI Modeling & Imaging Workflow
Designed the ML pipeline for analyzing OCT scans, retinal imagery, and patient data.
Implemented preprocessing workflows for clarity, noise reduction, and cross-modality alignment.
Built PyTorch-based training loops focused on early-detection accuracy and model explainability.
Added visual interpretability tools (heatmaps, feature localization) to support clinician trust.
Clinical-Ready Product Development
Shaped validation workflows around sensitivity thresholds and diagnostic reliability.
Designed physician-facing interfaces featuring clear markers, trends, and progression tracking.
Delivered a stable platform capable of integrating with hospital systems and imaging devices.
Outcome
Novai equipped clinicians with an advanced early-detection tool for glaucoma—combining high-precision AI insights with a clean, clinically aligned interface. The platform enhanced diagnostic confidence and provided a scalable technical foundation for future medical-AI capabilities.