Portfolio

Non-invasive ICP monitoring using deep learning on cerebral blood flow signals from near-infrared photonic sensors.

AI-powered insurance claim intake automation using Azure Document Intelligence and GPT-5 for extraction, policy matching, and confidence-scored coverage analysis.

Deep learning pipeline for OCT plaque segmentation, enabling precise arterial risk assessment in cardiovascular imaging.

ML workflow for tissue ablation assessment in hyperspectral imaging using PCA, Faster R-CNN, and Mean Shift clustering.

Explainable AI framework for detecting pulmonary edema features in chest X-rays using deep learning segmentation and object detection.

Deep learning solution for surgical tool segmentation in 3D ultrasound, achieving 93.6% Dice score for real-time catheter localization.