Saurav Sharma is a doctoral student at the University of Strasbourg with nine years of applied experience building ML and computer vision solutions, currently specializing in surgical video understanding. His background spans research and industry roles—from research engineer work at IHU Strasbourg and an internship at Inria on temporal activity recognition to data science and decision science positions—giving him a pragmatic bridge between academic research and production needs. He holds an MTech in Computer Science from NIT Rourkela and has a strong foundation in deep learning for untrimmed video analysis. Colleagues value his ability to translate complex surgical workflows into tractable computer-vision problems and prototype robust models for real-world clinical settings. Based in Strasbourg, he contributes to the CAMMA public PhD efforts and brings uncommon domain depth at the intersection of surgical practice and video-AI.
9 years of coding experience
7 years of employment as a software developer
Kendriya Vidyalaya Borjhar
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Strasbourg
Bachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at Tezpur University
Master of Technology - MTech, Computer Science, Master of Technology - MTech, Computer Science at National Institute of Technology Rourkela
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