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Ajay Kannan

from Sunnyvale, CA
Age ~32
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Related to:
Arvind Kannan, 28Srinivasan Kannan, 62Jayashri Kannan, 57
Connected to:
Amar V Kannan, 39Andrew Kannan, 34Anuradha Kannan, 51Arunkumar Kannan, 45Bharadwaj Kannan, 38Chandrasekar Kannan, 45Dinesh Kannan, 30Hari S Kannan, 40Kala Kannan, 63Kalaivani Kannan, 49

Ajay Kannan Phones & Addresses

  • Sunnyvale, CA
  • Mountain View, CA
  • Dublin, CA
  • Potomac, MD

Work

Company: Google Apr 2019 to Nov 2016 Position: Software engineer

Education

Degree: Bachelors, Bachelor of Arts School / High School: University of Oxford 2015

Skills

Tensorflow • Cuda • Python • C • C++ • Java • Numpy • Scipy • Machine Learning • Statistics • Algorithms • Data Analysis • Probability • Parallel Computing • Software Development

Industries

Biotechnology

Resumes

Resumes

Ajay Kannan Photo 1

Machine Learning Engineer

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Location:
San Francisco, CA
Industry:
Biotechnology
Work:
Google Apr 2019 - Nov 2016
Software Engineer
Freenome Apr 2019 - Nov 2016
Machine Learning Engineer
Silicon Valley Ai Lab Nov 2016 - Dec 2017
Software Engineer
Microsoft Jun 2014 - Sep 2014
Software Development Engineer Intern
Mit Little Devices Lab Jan 2014 - Mar 2014
Software Development Intern
Education:
University of Oxford 2015
Bachelors, Bachelor of Arts Dartmouth College 2011 - 2015
Bachelors, Bachelor of Arts, Mathematics, Computer Science, Economics University of Oxford 2014 - 2014
Montgomery Blair High School 2007 - 2011
Skills:
Tensorflow
Cuda
Python
C
C++
Java
Numpy
Scipy
Machine Learning
Statistics
Algorithms
Data Analysis
Probability
Parallel Computing
Software Development

Publications

Us Patents

Systems And Methods For Principled Bias Reduction In Production Speech Models

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US Patent:
20180247643, Aug 30, 2018
Filed:
Jan 30, 2018
Appl. No.:
15/884239
Inventors:
- Sunnyvale CA, US
Adam COATES - Mountain View CA, US
Christopher FOUGNER - Palo Alto CA, US
Yashesh GAUR - Santa Clara CA, US
Jiaji HUANG - San Jose CA, US
Heewoo JUN - Sunnyvale CA, US
Ajay KANNAN - Mountain View CA, US
Markus KLIEGL - Santa Clara CA, US
Atul KUMAR - Campbell CA, US
Hairong LIU - San Jose CA, US
Vinay RAO - Mountain View CA, US
Sanjeev SATHEESH - Sunnyvale CA, US
David SEETAPUN - Berkeley CA, US
Anuroop SRIRAM - Sunnyvale CA, US
Zhenyao ZHU - Sunnyvale CA, US
Assignee:
Baidu USA LLC - Sunnyvale CA
International Classification:
G10L 15/16
G10L 15/22
G10L 15/04
G10L 25/18
Abstract:
Described herein are systems and methods to identify and address sources of bias in an end-to-end speech model. In one or more embodiments, the end-to-end model may be a recurrent neural network with two 2D-convolutional input layers, followed by multiple bidirectional recurrent layers and one fully connected layer before a softmax layer. In one or more embodiments, the network is trained end-to-end using the CTC loss function to directly predict sequences of characters from log spectrograms of audio. With optimized recurrent layers and training together with alignment information, some unwanted bias induced by using purely forward only recurrences may be removed in a deployed model.
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Ajay Kannan from Sunnyvale, CA, age ~32 Get Report