Summary
Praneet Singh is a senior researcher in neural video processing with nine years of experience at the intersection of video coding, analytics, and machine learning. Currently at Dolby Labs after completing a PhD in Electrical and Computer Engineering at Purdue, he has driven end-to-end deep learning compression pipelines and explored multimodal implicit neural representations combining audio and video. His work spans task-aware video analytics, the effect of compression on computer vision, and quality estimation, informed by internships at Apple and multiple projects that applied traditional codec tools to novel 3D Gaussian splat compression. Known for bridging rigorous academic research with production-minded engineering, he has also built real-time video delivery and traffic-analytics systems deployed in the field. Based in West Lafayette, he brings strong theoretical grounding (3.9/4 GPA) and a knack for translating complex models into scalable, deployable solutions.
9 years of coding experience
1 year of employment as a software developer
SSLC, Science, 94.3%, SSLC, Science, 94.3% at Shiksha Sagar School
Doctor of Philosophy - PhD, Electrical & Computer Engineering, 3.9/4, Doctor of Philosophy - PhD, Electrical & Computer Engineering, 3.9/4 at Purdue University
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, 9.49/10, Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, 9.49/10 at M.S. Ramaiah Institute Of Technology
PUC, PCMC, 97.3%, PUC, PCMC, 97.3% at St Josephs College Arts Science
Punjabi, English, Hindi, Kannada, Sanskrit