Summary
Pranjal Vithlani is an applied scientist with 10 years of experience specializing in computer vision and multimodal deep learning, currently driving scene and content understanding at Amazon Prime Video. He has a track record of translating research into production—fine-tuning a 7B vision-language model to boost descriptor precision by 70%, automating profane-content detection with 90% accuracy and zero human intervention, and improving long-form video understanding beyond SOTA. His background spans academia and industry, from multimodal storytelling research at Rutgers to building visually similar product recommenders and catalog normalization pipelines in retail. Comfortable owning end-to-end projects, he combines strong leadership and data-pipeline engineering skills with hands-on model development, and often favors pragmatic weakly supervised approaches to deliver near-term, high-impact results.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Grade: 3.71/4, Master's degree, Computer Science, Grade: 3.71/4 at Rutgers University–New Brunswick
Bachelor's degree, Computer Engineering, CGPA: 8.75/10, Bachelor's degree, Computer Engineering, CGPA: 8.75/10 at CHAROTAR UNIVERSITY OF SCIENCE AND TECHNOLOGY