Ganesh Tata

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I am a second year Master’s student in the Department of Computing Science at the University of Alberta. I am pursuing my master’s thesis under the supervision of Prof. Nilanjan Ray. Currently, I am working on efficient black-box approximation to improve performance of black-box OCR engines. Generally, I am interested in accelerating neural network training using sample selection, calibration in neural networks and Data-Centric AI.

Previously, I worked as a Senior Machine Learning Engineer at Capillary Technologies. As part of the Instore Vision team at Capillary, I have worked on Computer Vision products for extracting useful insights about customers in an offline store, under the guidance of Subrat Panda and Sumandeep Banerjee. Before that, I was a Member Technical Staff at Stride.ai where I worked on Document Image processing techniques to extract metadata from PDF documents, and Optical Character Recognition for scanned documents, supervised by Pratheek Mahishi.

news

Jan 15, 2016 A simple inline announcement with Markdown emoji! :sparkles: :smile:
Nov 7, 2015 A long announcement with details
Oct 22, 2015 A simple inline announcement.

latest posts

selected publications

1935

  1. Can Quantum-Mechanical Description of Physical Reality Be Considered Complete?
    A. Einstein, B. Podolsky, and N. Rosen
    Phys. Rev., May 1935