DURGAPRASAD KATTA

Biomedical Engineering graduate student with hands-on clinical and technical experience seeking a full-time position in the medical device or healthcare technology industry. Proven ability in equipment maintenance, regulatory compliance, and interdisciplinary project execution. Committed to contributing innovative solutions to enhance patient care, product quality, and operational efficiency in high-performing organizations.

Graduate student in Biomedical Engineering at the University of North Texas with a solid foundation in medical equipment maintenance, healthcare systems, and quality management. Experienced in clinical and technical settings including hospital environments and biomedical systems industries. Proficient in equipment calibration, regulatory compliance, and interdisciplinary teamwork. Passionate about integrating engineering solutions to advance healthcare technology.

• CITI Social and Behavioral Research Training, 2024
• American Red Cross Certified Lifeguard (CPR, First Aid, AED), 2024
• Six Sigma Yellow Belt, University of Georgia, 2024
• Six Sigma Green Belt, Kennesaw State University, 2025

Comparative Analysis of Image Enhancement Techniques to Improve PSNR in Liver Imaging, Performed comparative study of Linear Contrast, Median, Mask, and Wiener filtering methods using MATLAB. Enhanced liver image clarity by improving PSNR and reducing noise artifacts for better diagnostics. Contributed to selecting optimal filters for pre-processing in medical imaging systems. Wireless Heart Rate Monitoring System Using Arduino, Developed a cost-effective, wearable heart rate monitor integrated with Bluetooth for real-time tracking. Tested system accuracy using pulse sensors; analyzed data through custom mobile dashboard. Targeted solution for remote patient care and fitness monitoring. IoT-Based Vital Sign Monitoring System, Created a real-time health monitoring system using ESP8266 and cloud integration for continuous tracking. Captured heart rate, SpO2, and body temperature data for remote display via ThingSpeak dashboard. Supported early detection in rural telemedicine applications. Ultrasonic Sensor-Based Blind Assistance Device, Designed a wearable prototype that detects obstacles using ultrasonic sensors and provides vibrational alerts. Aimed to improve mobility and safety for visually impaired individuals. Programmed system logic using Arduino and tested in dynamic environments.