Tom Pollak
Login to view DISC.Tom is a Machine Learning Engineer at Graphcore specializing in applied AI. His background includes developing state-of-the-art computer vision models and engineering performant C++ firmware for on-camera inference at Cisco Meraki. He graduated with a First Class Honours degree in Computer Science from the University of York.
His interests lie at the intersection of AI and hardware, with a focus on efficient model deployment.
He has unique experience building and integrating distributed k-nearest neighbor indexes across a mesh of edge devices.
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