Prithviraj User

I've published three IEEE papers on deep learning for sleep analysis, including EEG and PPG-based models for cyclic alternating patterns, insomnia detection, and sleep-stage classification.

At IIT Indore, I'm researching diffusion-based deep learning for brain tumor segmentation on multi-modal MRI datasets. I build end-to-end medical imaging pipelines and benchmark segmentation models using Dice Score, IoU, Sensitivity, Specificity, and Hausdorff Distance.

At Insolare, I deployed a liveness-enabled facial-recognition attendance system that achieved 98%+ verification accuracy with zero manual intervention. I also delivered drone-based solar defect detection and geospatial monitoring systems that reduced manual inspection time by 75%.

I've also built enterprise SaaS and AI healthcare products with React, NestJS, Docker, AWS, OpenAI API, and real-time communication tools. My work spans model development, data pipelines, containerized deployment, MLOps workflows, and production monitoring.