Automated FDA submission processes using Python OCR pipelines, ensuring 100% accuracy in document validation.

Developed a computer vision system to track joint motion post-surgery. Achieved 96.7% accuracy in analyzing rehabilitation progress.

Designed and assembled in-ear EEG systems for brain-computer interfaces. Developed electrodes optimizing for conductance and impedance, contributing to wearable neurotechnology.

Led prototype development for an aptamer-based electrochemical assay to diagnose ischemic stroke.

Trained deep CNNs to classify retinal OCT scans, achieving 95.2% accuracy on clinical data. Deployed the system for rural telemedicine.