Summary
Srinidhi Hegde is a research-focused computer vision and graphics engineer with 11 years of experience applying 3D vision, neural rendering, and computational imaging to AR/VR/XR and scientific visualization. Currently a Graduate Research Assistant at Purdue, he works on low-light imaging and light transport while pursuing a PhD, and previously developed NARVis—a real-time massive point-cloud renderer now integrated into NASA’s MRET—during his MS at University of Maryland. His background spans industry research and internships (Kitware, Tata Consultancy Services) where he worked on egocentric activity recognition, model compression, and situated visualization, giving him a strong blend of systems engineering and algorithmic depth. Comfortable with non-conventional imaging hardware and neural methods, he brings practical experience shipping research prototypes that bridge graphics, perception, and immersive applications.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Purdue University
Master of Science - MS, Master of Science - MS at University of Maryland
Bachelor of Technology (BTech), Bachelor of Technology (BTech) at Indraprastha Institute of Information Technology, Delhi