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Aditya Khosla

age ~54

from San Ramon, CA

Also known as:
  • Aditya A

Aditya Khosla Phones & Addresses

  • San Ramon, CA
  • 636 Smoke Tree Way, Sunnyvale, CA 94086 • 408 615-1720
  • 480 Madera Ave, Sunnyvale, CA 94086
  • 480 Madera Ave #2, Sunnyvale, CA 94086
  • Smoke Tree Way, Sunnyvale, CA 94086
  • 295 E Evelyn Ave #308, Sunnyvale, CA 94086
  • 111 N Rengstorff Ave #151, Mountain View, CA 94043
  • Bloomington, IN
  • Bethlehem, PA
  • 636 Smoke Tree Way, Sunnyvale, CA 94086

Work

  • Company:
    Slice technologies, inc.
    May 2012
  • Address:
    Palo Alto, CA
  • Position:
    Senior director, engineering

Skills

Engineering Leadership • Web Applications • Mobile Applications • System Architecture • Distributed Systems • Scalability • JavaScript • AJAX • Java • Agile Methodologies • Product Management • Product Strategy • Consumer Internet • Social Commerce • Email Systems • User Experience • Amazon Web Services • MySQL

Industries

Computer Software

Resumes

Aditya Khosla Photo 1

Engineering Leader - Web, Mobile, Infrastructure

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Position:
Senior Director, Engineering at Slice Technologies, Inc.
Location:
San Francisco Bay Area
Industry:
Computer Software
Work:
Slice Technologies, Inc. - Palo Alto, CA since May 2012
Senior Director, Engineering

Slice Technologies, Inc. - Palo Alto, CA May 2010 - May 2012
Director of Engineering

AOL - Mountain View, CA Jul 2006 - Feb 2010
Technical Director, Mail Applications

AOL - Mountain View, CA Apr 2002 - Jun 2006
Senior Technical Manager, Software Development

AOL - Mountain View, CA Sep 2001 - Apr 2002
Technical Manager, Software Development
Skills:
Engineering Leadership
Web Applications
Mobile Applications
System Architecture
Distributed Systems
Scalability
JavaScript
AJAX
Java
Agile Methodologies
Product Management
Product Strategy
Consumer Internet
Social Commerce
Email Systems
User Experience
Amazon Web Services
MySQL

Us Patents

  • Automated Categorization Of Rss Feeds Using Standardized Directory Structures

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  • US Patent:
    7702675, Apr 20, 2010
  • Filed:
    Nov 11, 2006
  • Appl. No.:
    11/558910
  • Inventors:
    Aditya Khosla - Sunnyvale CA, US
    Brock D. LaPorte - San Carlos CA, US
    Alberto Cobas - Scotts Valley CA, US
    Colin Chang - San Jose CA, US
  • Assignee:
    AOL Inc. - Dulles VA
  • International Classification:
    G06F 17/30
  • US Classification:
    707710, 707731, 709203, 709217
  • Abstract:
    A method and system for creating a database of categorized web feeds for facilitating web feed organization is disclosed. One exemplary method includes ascertaining a web feed identifier and searching a categorized collection of websites to determine a hierarchical folder path for the web feed identifier. For example, the Open Directory Project may be searched to determine an appropriate hierarchical folder path for the web feed identifier. The web feed identifier is placed in a corresponding hierarchical folder path within the database of categorized web feeds. The database of categorized web feeds can then be used as a tool for organizing web feeds on a client computer.
  • Normalization And Customization Of Syndication Feeds

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  • US Patent:
    20070033290, Feb 8, 2007
  • Filed:
    Jan 17, 2006
  • Appl. No.:
    11/332883
  • Inventors:
    Joseph Valen - Sunnyvale CA, US
    Aditya Khosla - Sunnyvale CA, US
    Alberto Cobas - Scotts Valley CA, US
    Edgar Cockrell - Sterling VA, US
    Colin Chang - San Jose CA, US
  • International Classification:
    G06F 15/16
  • US Classification:
    709231000, 709227000
  • Abstract:
    Systems and methods for normalizing and customizing syndication feeds. The systems and methods include formulating a request for a syndication feed that has been normalized into a particular syndication feed format, sending the request to a server, and receiving a response from the server, where the response includes the normalized syndication feed. The systems and methods also include receiving a request for a syndication feed from a client, determining whether the syndication feed can be obtained from a cache that is accessible to the server, retrieving the syndication feed from the cache if the syndication feed can be obtained from the cache, retrieving the syndication feed from the source of the syndication feed if the syndication feed can not be obtained from the cache, normalizing the syndication feed into a particular syndication feed format, formulating a response that includes the normalized syndication feed, and sending the response to the client.
  • Enhanced Favorites Service For Web Browsers And Web Applications

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  • US Patent:
    20070033516, Feb 8, 2007
  • Filed:
    Aug 3, 2005
  • Appl. No.:
    11/197681
  • Inventors:
    Aditya Khosla - Sunnyvale CA, US
    Brock Laporte - San Carlos CA, US
    Alberto Cobas - Scotts Valley CA, US
    Colin Chang - San Jose CA, US
    Joseph Van Valen - Sunnyvale CA, US
  • International Classification:
    G06F 17/00
  • US Classification:
    715501100
  • Abstract:
    The invention provides two enhancements for the use of favorites during a Web browsing session. A first enhancement identifies when a user is adding a favorite to his favorites list and auto-suggests a category under which the favorite could be stored. A second enhancement allows a user to review his favorites list and see a summary of feed content (RSS or other standard) on each feed enabled page on his favorites list, without requiring the user to link to the page in question.
  • Enhanced Favorites Service For Web Browsers And Web Applications

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  • US Patent:
    20070033517, Feb 8, 2007
  • Filed:
    Jun 15, 2006
  • Appl. No.:
    11/424452
  • Inventors:
    Timothy O'Shaughnessy - Washington DC, US
    Aditya Khosla - Sunnyvale CA, US
    Brock Laporte - San Carlos CA, US
    Alberto Cobas - Scotts Valley CA, US
    Colin Chang - San Jose CA, US
  • International Classification:
    G06F 17/00
    G06F 15/00
  • US Classification:
    715501100
  • Abstract:
    The invention provides enhancements for the use of favorites during a Web browsing session. A first enhancement identifies when a user is adding a favorite to his favorites list and auto-suggests a category under which the favorite could be stored. A second enhancement allows a user to review his favorites list and see a summary of feed content (RSS or other standard) on each feed enabled page on his favorites list, without requiring the user to link to the page in question. A third enhancement allows the user to view an manipulate the feed in an independent display window.
  • Augmented Aggregation Of Emailed Product Order And Shipping Information

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  • US Patent:
    20130024525, Jan 24, 2013
  • Filed:
    Jan 12, 2012
  • Appl. No.:
    13/349287
  • Inventors:
    Scott J. Brady - Menlo Park CA, US
    Benjamin A. Suppe - San Francisco CA, US
    Eric J. Botto - Palo Alto CA, US
    Harpinder Singh Madan - Foster City CA, US
    Aditya Khosla - Sunnyvale CA, US
    Dmytry B. Mykhaylov - San Jose CA, US
    Georgii Verbytskyi - Odessa, UA
    Alexander Lototsky - Odessa, UA
    Michael Mantel - Beverly Hills CA, US
  • Assignee:
    Project Slice Inc. - Palo Alto CA
  • International Classification:
    G06F 15/16
  • US Classification:
    709206
  • Abstract:
    Product order and shipping information received via email messages is automatically aggregated for ready user review. Once the user is authenticated, authorization to access their email mailbox is obtained and the email message headers of their entails are analyzed to identify those messages of interest. The bodies of the email messages of interest are parsed to extract the product order and shipping information which is stored and presented for display to the user typically grouped by individual product thus greatly simplifying user review of orders. The aggregated product order and shipping information can be augmented with additional information such as shipping status, delivery status, a product image, and/or a last date that the product can be returned.
  • Aggregation Of Emailed Product Order And Shipping Information

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  • US Patent:
    20130024924, Jan 24, 2013
  • Filed:
    Jul 19, 2011
  • Appl. No.:
    13/185943
  • Inventors:
    Scott J. Brady - Menlo Park CA, US
    Benjamin A. Suppe - San Francisco CA, US
    Eric J. Botto - Palo Alto CA, US
    Harpinder Singh Madan - Foster City CA, US
    Ievgen Mastierov - Odessa, UA
    Aditya Khosla - Sunnyvale CA, US
    Dmytry B. Mykhaylov - San Jose CA, US
    Georgii Verbytskyi - Odessa, UA
  • International Classification:
    G06F 15/16
    G06F 21/24
    H04L 9/32
  • US Classification:
    726 7, 709206
  • Abstract:
    Product order and shipping information received via email messages is automatically aggregated for ready user review. Once the user is authenticated, authorization to access their email mailbox is obtained and the email message headers of their mails are analyzed to identify those messages of interest. The bodies of the email messages of interest are parsed to extract the product order and shipping information which is stored and presented for display to the user typically grouped by individual product thus greatly simplifying user review of orders.
  • Methods And Apparatuses For Distributing A Collection Of Digital Media Over A Network With Automatic Generation Of Presentable Media

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  • US Patent:
    60353236, Mar 7, 2000
  • Filed:
    Oct 24, 1997
  • Appl. No.:
    8/957224
  • Inventors:
    Shantanu Narayen - Sunnyvale CA
    Wu Wang - Los Altos CA
    Steve Morris - Palo Alto CA
    Chan Chiu - Sunnyvale CA
    Cecilia Zhao - Newark CA
    Aditya Khosla - Mountain View CA
    James Lei - Cupertino CA
    Prasad Kongara - San Jose CA
  • Assignee:
    Pictra, Inc. - Sunnyvale CA
  • International Classification:
    G06F 1300
  • US Classification:
    709201
  • Abstract:
    Methods and apparatuses for publishing a collection of digital media on a network. In one example of a method, a client digital processing system generates a collection of digital media and transmits collection information, which describes the collection of digital media, to a server digital processing system. From the collection information, a plurality of presentable media is automatically generated; each of these presentable media is capable of being presented to other client digital processing systems which are coupled to the network. In this one example, the network is operating according to a hypertext transfer protocol. In this one example, the client and server systems are programmed to interact together such that the presentable media is automatically generated.
  • Methods And Apparatuses For Creating A Collection Of Media

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  • US Patent:
    62020617, Mar 13, 2001
  • Filed:
    Oct 24, 1997
  • Appl. No.:
    8/957226
  • Inventors:
    Aditya Khosla - Mountain View CA
    James Lei - Cupertino CA
    Shantanu Narayen - Sunnyvale CA
    Steve Morris - Palo Alto CA
    Wu Wang - Los Altos CA
  • Assignee:
    Pictra, Inc. - Sunnyvale CA
  • International Classification:
    G06F 1730
    G06F 300
  • US Classification:
    707 3
  • Abstract:
    Methods and systems for creating a collection of digital media. In one example of a method, at least one search parameter is defined, and a search is performed using the search parameter to search through parameters for a first plurality of digital media. The search obtains a second plurality of digital media which is a subset of the first plurality of digital media. Then a media container is automatically generated from the search results. The media container may, in one embodiment, be a digital picture album having multiple pages with multiple digital pictures.

Youtube

Shola Shola Hai Tu - London Dreams (2009) (En...

Cast Salman Khan ... Manjeet 'Mannu' Khosla Ajay Devgan ... Arjun (as ...

  • Category:
    Music
  • Uploaded:
    24 Dec, 2010
  • Duration:
    5m 30s

Yeh Ishq Hai - Jab We Met (2006)

Cast (in credits order) Shahid Kapur ... Aditya Kashyap (as Shahid Kap...

  • Category:
    Music
  • Uploaded:
    30 May, 2010
  • Duration:
    4m 37s

Dancing Jodi - Rab Ne Bana Di Jodi (2008) *HD...

Dancing Jodi *HD* Full Song BluRay Video, Rab Ne Bana Di Jodi (2008) S...

  • Category:
    Entertainment
  • Uploaded:
    13 Feb, 2011
  • Duration:
    4m 32s

Tujh Mein Rab Dikhta Hai (Female) - Rab Ne Ba...

Tujme Rab Dikta Hai Sad - Rab Ne Bana Di Jodi (2008) *HD* - Full Song ...

  • Category:
    Entertainment
  • Uploaded:
    02 Dec, 2010
  • Duration:
    1m 40s

Aditya Khosla: Predicting Human Visual Memory...

Aditya Khosla Title: Predicting Human Visual Memory using Deep Learnin...

  • Duration:
    1h 19s

AI Seminar 2021: Aditya Khosla, AI for Pathol...

The AI Seminar is a weekly meeting at the University of Alberta where ...

  • Duration:
    59m 9s

Predicting Human Visual Memory using Deep Lea...

Recent research shows that the extent to which an image is remembered ...

  • Duration:
    16m 57s

Aditya khosla

Created by VideoShow: .

  • Duration:
    17s

Facebook

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Plaxo

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Googleplus

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Education:
Picasso - Animations
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Aditya Khosla

Tagline:
....bahzinga....
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Myspace

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Aditya Khosla

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Locality:
Delhi, India
Gender:
Male
Birthday:
1951

News

Crowdsourced Data Can Teach Your Phone To Follow Your Eyes

Crowdsourced data can teach your phone to follow your eyes

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  • The field is kind of stuck in this chicken-and-egg loop, said Aditya Khosla, an MIT graduate student. Since few people have the external devices, theres no big incentive to develop applications for them. Since there are no applications, theres no incentive for people to buy the devices. We thou
  • Date: Jun 16, 2016
  • Category: Sci/Tech
  • Source: Google
Now Just Like You, This Algorithm Can Predict Memorability Or Forgetability Of ...

Now Just Like You, This Algorithm Can Predict Memorability or forgetability Of ...

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  • Aditya Khosla, the lead author of the research, has told the schools publication that understanding memorability can help scientists make systems that can capture the most important information that humans will most likely forget. Khosla, a CSAIL graduate student, says its like having an instant
  • Date: Dec 20, 2015
  • Category: Sci/Tech
  • Source: Google
Mit Researchers Train An Algorithm To Predict How Boring Your Selfie Is

MIT Researchers Train An Algorithm To Predict How Boring Your Selfie Is

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  • Asked to explain what kind of patterns the deep-learning algorithm is trying to identify in order to predict memorability/forgettability, PhD candidate at MIT CSAIL, Aditya Khosla, who was lead author on a related paper, tellsTechCrunch: This is a very difficult question and active area of researc
  • Date: Dec 16, 2015
  • Category: Sci/Tech
  • Source: Google
Lamem Website Scans Your Photos To Reveal How Recognisable You Are

LaMem website scans your photos to reveal how recognisable you are

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  • 'Understanding memorability can help us make systems to capture the most important information, or, conversely, to store information that humans will most likely forget,' added CSAIL graduate student and lead author Aditya Khosla,
  • Date: Dec 16, 2015
  • Category: Sci/Tech
  • Source: Google

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