Member Of Technical Staff at Georgia Institute of Technology
New York, New York, United States
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Summary
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Senior
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Saurabh 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 Technology
Dual 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
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Saurabh Dash - Member Of Technical Staff at Georgia Institute of Technology