Summary
Saurabh Mathur is a Bayes-savvy AI researcher and software developer with 11 years of experience bridging academic research and practical ML systems. Currently a postdoctoral researcher at Technische Universität Darmstadt, he completed a PhD in Computer Science at UT Dallas after an MS at Indiana University where he focused on Bayesian deep learning and computer vision. He has substantial teaching experience across machine learning, AI, networking, and game programming, and has built production-style prototypes, including a neural machine translation system for assertion generation and a collaborative filtering recommender during industry internships. Fluent in research-to-code translation, he combines rigorous probabilistic modeling with hands-on implementation and mentoring. Based in Darmstadt, he brings a strong academic record (4.0 PhD GPA) and a demonstrated curiosity for practical AI applications that move from research prototypes to usable systems.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 4.0/4.0, Doctor of Philosophy - PhD, Computer Science, 4.0/4.0 at The University of Texas at Dallas
Master's degree, Computer Science, 3.83/4.0, Master's degree, Computer Science, 3.83/4.0 at Indiana University Bloomington
Bachelor's Degree, Information Technology, 9.12/10.0, Bachelor's Degree, Information Technology, 9.12/10.0 at Vellore Institute of Technology
English, Hindi