Sharath Girish
Research Scientist at Snap Inc.
College Park, Maryland, United States
Summary
👤
Senior🎓
Top SchoolSharath Girish is a research scientist focused on efficient representations for video generative modeling, currently at Snap Inc. and completing a PhD in Computer Science at the University of Maryland. Over a decade in the field, he has blended academic rigor with industry impact through internships at NVIDIA, AWS, and Microsoft working on 3D video streaming, semi-supervised learning, neural architecture search, and self-supervised learning. His work sits at the intersection of video compression, generative models, and systems for real-time media, enabling more expressive yet efficient video synthesis. Based in College Park, MD, he brings experience transitioning research prototypes toward production-relevant constraints. Peers describe him as someone who pairs deep theoretical insight with pragmatic engineering to tackle high-bandwidth media challenges.
10 years of coding experience
Bachelor of Technology - BTech, Electrical and Electronics Engineering, Bachelor of Technology - BTech, Electrical and Electronics Engineering at Indian Institute of Technology MadrasDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Maryland
Github Skills (18)
python10
machine-learning10
deep-learning10
data-science9
tensorflow9
neural-network9
nas8
deep-neural-networks8
model-compression8
ml8
architecture7
neural-architecture-search7
automated-machine-learning6
modular6
pytorch5
Programming languages (2)
Github contributions (5)
Sharath-girish/LilNetX
Apr 2022 - May 2022
Official PyTorch implementation of LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
Contributions:3 commits, 6 pushes, 3 branches in 1 month
pytorchextremestructureddeep-learningcompression
efficientgaussian/efficientgaussian.github.io
Dec 2023 - Aug 2024
Contributions:7 pushes in 8 months
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