Shravani User

I’m a Biomedical Engineering graduate with experience spanning research-driven product development, medical device innovation, and technical documentation. I’m motivated by turning evidence from papers and clinical datasets into practical engineering outcomes that improve real-world care.

Alongside my academic work, I’ve co-invented a patented controlled steam delivery system for a clinical Ayurvedic setting. I also built a Smart Biomedical Equipment Management System that uses equipment usage, service intervals, and breakdown history to enable predictive maintenance and automated maintenance workflows.

In hands-on roles, I supported medical device operations and product support across healthcare environments, including documentation, service coordination, and customer-facing demonstrations. I’ve also supported installation and functional validation of PET–CT and mammography systems and troubleshot devices such as ECG machines, BP apparatus, nebulizers, and patient warmers to maintain clinical readiness.

My research focuses on deep learning for clinical decision support and explainable models for medical imaging and diagnosis. I’ve authored two research publications covering heart disease detection using deep neural networks and explainable Alzheimer’s diagnosis with a CNN-RF hybrid approach and I bring a strong literature-review workflow, data analysis capability, and clear, engineering-grade documentation to every project.