Engineering & Product Projects

As the Project Lead, I spearhead the roadmap, architecture, and developer workflows for DocHours. Key achievements include driving HIPAA-compliant data storage migration, developing an intelligent analytics dashboard, and building a customizable website generator to give medical practices instant online visibility.

Conducted at the Centre for Stem Cell Research (CMC Vellore), this project focused on covalently modifying titanium surfaces and coating them with antibiotic-loaded nanofibers and natural antibacterial sericin. This enhances the antibacterial efficacy of orthopedic and dental metal implants.

Developed an image processing algorithm using Computed Tomography (CT) angiogram images to automatically segment coronary blood vessels and isolate blocks. Utilized Hessian-based Frangi Vesseleness filtering to identify vessel structures, median filtering for noise reduction, and custom block-encircling algorithms.

A medical image processing project designed to segment ultrasound (US) kidney images to isolate key anatomical structures. Used Contourlet Transform combined with Watershed segmentation algorithms to overcome ultrasound speckle noise and extract highly defined regions.

Designed and built an automated system for elderly care to deliver precise medicine dosages at set times. Family members configure the dosage and timing via a PC interface, which transfers data to the FPGA. Built-in alarms continue until the patient manually deactivates them after receiving the dose.

Co-developed an in-shoe sensor array system to measure and monitor pressure at the heel and toe of patients. High sustained pressure is a major precursor to diabetic foot ulcers, which are difficult for patients to sense due to neuropathy. The system provides real-time warnings to prevent amputations.