Summary
Madan Ganesh is a Machine Learning Research Scientist at Bosch Center for Artificial Intelligence in Pittsburgh with a decade of experience bridging academic research and applied engineering. He completed graduate work at the University of Michigan focused on computer vision topics such as neural network pruning, curriculum learning, information-theoretic measures, and video-based deep learning, and is pursuing a PhD in engineering. Prior roles at National Instruments gave him hands-on testing and automation experience with RF hardware and LabVIEW, which informs his pragmatic approach to reproducible experiments and systems integration. Based in Ann Arbor, he combines deep theoretical insight with practical validation skills, often translating complex research ideas into robust, testable prototypes. An understated strength is his cross-domain fluency—from signal-level testing to modern deep learning—that helps move models from lab proofs to real-world deployments.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, ENGINEERING, Doctor of Philosophy - PhD, ENGINEERING at University of Michigan
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at M.S Ramiah Institute of technology
English, Kannada, Tamil, Hindi