Preetham Pangaluru

Preetham Pangaluru is a dedicated computer science professional with significant experience in machine learning and computer vision. As a Machine Learning Engineer Intern at NASA Jet Propulsion Laboratory, Preetham focused on air quality by processing PM2.5 data. In the role of Computer Vision Researcher at Visual Machines Group, Preetham developed a C++ library for camera synchronization, created a CNN-based model to reduce bias in heart rate detection, and designed an iOS app for blood pressure prediction. Preetham also served as Workshops Officer for ACM AI @ UCLA, teaching deep learning concepts, and completed a Machine Learning Engineer Internship at the University of California, Los Angeles, where precipitation patterns were analyzed. Currently pursuing a Master's degree in Computer Science at UCLA, Preetham previously earned a Bachelor's degree in the same field.