Naveen Rajarapu

Research Assistant at Lawrence Technological University

Developing an AI framework to predict pacemaker malfunctions before device failure, focusing on battery depletion, lead fracture, and capture failure. Generating synthetic ECG and telemetry data (via GANs and simulation) to train models on both healthy and faulty device scenarios. Incorporating patient-specific baselines and transfer learning to adapt predictions to individualized device settings and improve accuracy across diverse patients.

Artificial Intelligence / Machine Learning Intern at Artflix Design Agency

Designed and integrated AI models for image classification, color analysis, and text classification to power a creative assistant tool for designers. Automated design suggestions by implementing ML algorithms that recommend templates, images, and ideas based on user input. Streamlined workflows to reduce suggestion time by 40%, boosting design efficiency across the platform. Collaborated with cross-functional teams to train, validate, and deploy models used by 50+ internal testers during product development.