Shrisha Bharadwaj is a doctoral student at the Max Planck Institute for Intelligent Systems with nine years of experience at the intersection of computer vision, graphics, and machine learning. He has progressed from industry roles delivering real-time video surveillance solutions to research positions at Tübingen and MPI‑IS, contributing to projects that bridge Python and Rust for web-friendly model deployment (Blowtorch) and neural compression (ZipNet). His work on tooling like backPACK and cross-language model export demonstrates a practical focus on making advanced ML research production-ready. Based in Bengaluru and trained in machine learning (MSc, Tübingen) and telecommunications engineering, he combines strong academic rigor with hands-on engineering to move models from prototype to efficient inference.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Telecommunications Engineering, Bachelor of Engineering - BE, Telecommunications Engineering at B. M. S. College of Engineering
Master's degree, Machine Learning, Master's degree, Machine Learning at Eberhard Karls Universität Tübingen
pre university, Electronics and Communication, pre university, Electronics and Communication at Mount Carmel College, India
Doctor of Philosophy - PhD, Computer Graphics, Doctor of Philosophy - PhD, Computer Graphics at Max Planck Institute for Intelligent Systems
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