Shrisha Bharadwaj
Doctoral Student at Max Planck Institute for Intelligent Systems
Bengaluru, Karnataka, India
Summary
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Senior🎓
Top SchoolShrisha 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.
9 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 EngineeringMaster's degree, Machine Learning, Master's degree, Machine Learning at Eberhard Karls Universität Tübingenpre university, Electronics and Communication, pre university, Electronics and Communication at Mount Carmel College, IndiaDoctor of Philosophy - PhD, Computer Graphics, Doctor of Philosophy - PhD, Computer Graphics at Max Planck Institute for Intelligent Systems
Github Skills (79)
backpack10
few-shot-learning10
scene10
computer-vision10
information-theory10
backpropagation10
pytorch10
meta-learning10
gradient9
deeplab9
deep-learning9
quantities9
machine-learning9
segmentation9
convolutional-neural-networks8
Programming languages (6)
Github contributions (5)
sbharadwajj/awesome-zero-shot-learning
Oct 2018 - Jul 2021
A curated list of papers, code and resources pertaining to zero shot learning
Contributions:59 commits, 5 PRs, 45 pushes in 2 years 9 months
pytorchinformation-theorymeta-learningzerodeep-learning
sbharadwajj/backpack
Apr 2020 - May 2021
BACKpropagation PACKage - A backpack for PyTorch that extends the backward pass of feedforward networks to compute quantities beyond the gradient
Contributions:2 PRs, 239 pushes, 44 branches in 1 year
pytorchbackpropagationcomputequantitiesgradient
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