Saurabh Dash
Member Of Technical Staff at Georgia Institute of Technology
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolSaurabh Dash is a Machine Learning PhD researcher and Member of Technical Staff at Cohere with a decade of experience bridging academic research and industry R&D. He focuses on dynamical systems, geometric deep learning, generative models, neuromorphic algorithms, and efficient, robust edge ML—interests that span from brain-machine interfaces to production-scale model engineering. His background includes research roles at Georgia Tech, a summer ML research stint at Apple, and early DSP experience at Texas Instruments, reflecting a blend of theoretical depth and hardware-aware implementation. Trained at IIT Kharagpur and Georgia Tech, he pairs strong formal signal-processing and computational neuroscience foundations with practical work on scalable ML systems. Notably, he pursues neuromorphic and edge-efficient approaches, signaling a preference for models that are both biologically inspired and deployment-minded.
10 years of coding experience
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Georgia Institute of TechnologyDual Degree (Bachelor of Engineering and Master of Engineering), Major: Electronics and Electrical Communications Engineering | Minor: Computer Science, Dual Degree (Bachelor of Engineering and Master of Engineering), Major: Electronics and Electrical Communications Engineering | Minor: Computer Science at Indian Institute of Technology, Kharagpur
Odia, Hindi, French, English
Github Skills (30)
transformers10
pytorch10
python10
machine-learning-models10
llama10
machine-learning10
inference10
multimodal10
tpu10
amd10
llm10
audio10
deep-learning10
openai10
natural-language-processing10
Programming languages (3)
Github contributions (5)
saurabhdash/old.saurabhdash.github.io
Apr 2020 - Mar 2022
A beautiful Jekyll theme for academics
Contributions:50 pushes, 1 branch in 1 year 10 months
academicsbeautiful-jekylljekylljekyll-themebeautiful-jekyll-theme
saurabhdash/GCN_Partitioning
Feb 2020 - Apr 2020
Graph Partitoning Using Graph Convolutional Networks
Contributions:17 commits, 15 pushes, 2 branches in 2 months
graphgraph-convolutional-networksgcn-partitioninggraph-partitoning
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