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Aashish Jain Phones & Addresses

  • Newark, CA
  • Oakland, CA
  • Fremont, CA
  • Pasadena, CA
  • Goleta, CA
  • La Jolla, CA

Resumes

Resumes

Aashish Jain Photo 1

Senior Software Automation Engineer

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Location:
6213 Quartz Pl, Newark, CA 94560
Industry:
Information Technology And Services
Work:
Apple
Senior Software Automation Engineer

Parsable
Lead Software Automation Engineer

Itson, Inc. Jan 2017 - Dec 2017
Manager of Software Automation Engineering

Itson, Inc. Jul 2013 - Dec 2016
Lead Software Automation Engineer at Itson Inc

Arj Enterprise Jul 2013 - Dec 2016
Entrepreneur
Education:
Uc San Diego 2007 - 2011
Bachelors, Bachelor of Science, Bioengineering
Dos Pueblos High School 2003 - 2007
Dos Pueblos Senior High
Skills:
Pcr
Western Blotting
Protein Purification
Matlab
Microsoft Office
Research
Python
Molecular Biology
Html
Java
Science
Red Hat Linux
Windows
Eclipse
Javascript
Software Engineering
Web Applications
Tomcat
Web Technologies
Biomedical Engineering
Software As A Service
Appium
Selenium
Languages:
English
Hindi
Aashish Jain Photo 2

Software Automation Engineer

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Location:
6213 Quartz Pl, Newark, CA 94560
Industry:
Telecommunications
Work:
Itson, Inc.
Software Automation Engineer
Aashish Jain Photo 3

Aashish Jain

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Aashish Jain Photo 4

Aashish Jain

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Aashish Jain Photo 5

Aashish Jain

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Aashish Jain Photo 6

Aashish Jain

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Aashish Jain Photo 7

Aashish Jain

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Publications

Us Patents

One-To-Many Automatic Content Generation

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US Patent:
20230129431, Apr 27, 2023
Filed:
Jan 26, 2022
Appl. No.:
17/649016
Inventors:
- San Francisco CA, US
Sönke Rohde - San Francisco CA, US
Alan Martin Ross - San Francisco CA, US
David James Woodward - Bozeman MT, US
Jessica Lundin - Seattle WA, US
Owen Winne Schoppe - Orinda CA, US
Brian J. Lonsdorf - Soquel CA, US
Aashish Jain - Cambridge MA, US
International Classification:
G06F 3/04845
G06N 3/04
G06V 10/771
G06V 10/762
G06V 10/82
Abstract:
Techniques are disclosed for automatically generating new content using a trained 1-to-N generative adversarial network (GAN) model. In disclosed techniques, a computer system receives, from a computing device, a request for newly-generated content, where the request includes current content. The computer system automatically generates, using the trained 1-to-N GAN model, N different versions of new content, where a given version of new content is automatically generated based on the current content and one of N different style codes, where the value of N is at least two. After generating the N different versions of new content, the computer system transmits them to the computing device. The disclosed techniques may advantageously automate a content generation process, thereby saving time and computing resources via execution of the 1-to-N GAN machine learning model.
Aashish X Jain from Newark, CA, age ~35 Get Report