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Brock D Laporte

from Carnelian Bay, CA
Age ~62
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Also known as:
Brock Daniel Laporte, Brock Eileen Laporte, Brock Eileen Smith Laporte, Brock Daniel La Porte, Brock D Porte, Zoe Laporte, Brock La, Daniel La Porte Brock, Brockdani El Laporte, Daniel Laporte Brock
Related to:
Daniel L Brock, 62Emma Laporte, 29Eileen S Porte, 61Zoe Laporte, 31
Connected to:
Alexis M Laporte, 31Brenda A Laporte, 73Carrie L Laporte, 46Chelsea R Laporte, 36Clara J Laporte, 95Dena R Laporte, 48Elaine Laporte, 73Francisco A Laporte, 39Gilles Laporte, 80Grace S Laporte, 31

Brock Laporte Phones & Addresses

  • Carnelian Bay, CA
  • 113 Wildwood Ave, San Carlos, CA 94070 (650) 593-8870 (650) 654-6187
  • Pacific Palisades, CA
  • Palo Alto, CA
  • Mountain View, CA
  • 113 Wildwood Ave, San Carlos, CA 94070 (415) 823-9298

Work

Position: Professional/Technical

Education

Degree: Graduate or professional degree

Emails

b***[email protected]

Resumes

Resumes

Brock Laporte Photo 1

Director, Performance Engineering

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Location:
1000 west Donges Bay Rd, Mequon, WI 53092
Industry:
Internet
Work:
Solum, Inc. - San Francisco, CA since Jun 2013
Vice President, Engineering
SugarSync - San Mateo, CA Feb 2011 - Jun 2013
Vice President, Engineering
SunPower Corporation Jan 2008 - Feb 2011
Sr. Director, Monitoring Technology
Jun 2007 - Dec 2007
Consultant
AOL, LLC - Mountain View, CA Jul 2006 - Apr 2007
VP Engineering, Community and Communications
Education:
Stanford University 1986 - 1988
M.S., Applied Physics Stanford University 1981 - 1985
B.S., Physics
Skills:
Start Ups
Agile Methodologies
Software Development
Mobile Devices
Strategy
Saas
Cloud Computing
Product Management
Product Development
Project Management
Software Engineering
Management
Leadership
Scrum
C++
Integration
Program Management
Business Strategy
Mobile Applications
Java
Linux
Enterprise Software
Python
Team Building
Cross Functional Team Leadership
Distributed Systems
Strategic Partnerships
Web Applications
Quality Assurance
Engineering Management
Software Design
Software As A Service
Mysql
Solar Energy
Scalability
Technical Product Management
Executive Management
System Architecture
Software Project Management
Brock Laporte Photo 2

Brock Laporte

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Publications

Us Patents

Altering Keyword-Based Requests For Content

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US Patent:
7809605, Oct 5, 2010
Filed:
Mar 28, 2006
Appl. No.:
11/391019
Inventors:
Sudhir Tonse - Fremont CA, US
Muhammad Mohsin Hussain - San Jose CA, US
David C. Sobotka - Redwood City CA, US
Aftab Zia - Santa Clara CA, US
Leejay Wu - Mountain View CA, US
M. Sultan Khan - San Jose CA, US
Brock D. LaPorte - San Carlos CA, US
Mohan S. Rao - Sunnyvale CA, US
Assignee:
AOL Inc. - Dulles VA
International Classification:
G06Q 30/00
US Classification:
705 1454, 705 144, 705 1443, 705 1442, 705 10
Abstract:
Systems and methods are provided for increasing user response to advertisements. Methods include identifying a base request from an advertisement requester, identifying a first keyword and a second keyword associated with the base request, ranking the first keyword and the second keyword based on a user response history associated with the first keyword and the second keyword, and identifying the higher ranked of the first keyword and the second keyword to be used to dynamically alter the base request.

Active And Passive Personalization Techniques

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US Patent:
8082511, Dec 20, 2011
Filed:
Feb 14, 2008
Appl. No.:
12/031340
Inventors:
David C. Sobotka - Redwood CA, US
Sudhir Tonse - Fremont CA, US
Brock D. LaPorte - San Carlos CA, US
Mike Macadaan - Livermore CA, US
David J. Liu - Chevy Chase MD, US
Assignee:
AOL Inc. - Dulles VA
International Classification:
G06F 13/00
G06F 15/00
US Classification:
715758, 715745
Abstract:
A method for personalizing content for a particular user in a computing system comprising a user interface configured to display content. The method comprises identifying a long term profile having one or more features in a feature set and a long term level of importance associated with each term in the feature set, identifying a short term profile having one or more features in the feature set and a short term level of importance associated with each term in the feature set, identifying input related to the display of the one or more content items on the user interface, and using the input to modify the short term level of importance and the long term level of importance associated with each term in the feature set to form a modified user interest set.

Peer-To-Peer Access Of Personalized Profiles Using Content Intermediary

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US Patent:
8612869, Dec 17, 2013
Filed:
Feb 14, 2008
Appl. No.:
12/031389
Inventors:
Sudhir Tonse - Fremont CA, US
Arun K. Ranganathan - San Francisco CA, US
Brock Daniel LaPorte - San Carlos CA, US
Mike Macadaan - Livermore CA, US
David J. Liu - Chevy Chase MD, US
Assignee:
AOL Inc. - Dulles VA
International Classification:
G06F 15/00
G06F 13/00
US Classification:
715762, 715747
Abstract:
A method for personalizing content for a particular user in a computing system comprising a user interface configured to display content. The method comprises identifying a content item accessed by a user, identifying features associated with the content item; using the features of the content item to identify one or more third party profiles that substantially match a content profile of the content item, and displaying a list of the identified third party profiles.

Remote Population Of Computer Clipboard Via A Messaging System

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US Patent:
20050004986, Jan 6, 2005
Filed:
Jul 3, 2003
Appl. No.:
10/613435
Inventors:
Norihiro Aoki - Sunnyvale CA, US
Brock Laporte - San Carlos CA, US
International Classification:
G06F015/16
US Classification:
709206000
Abstract:
The invention provides a system and method for transferring a fragment of a document via an Internet based messaging system, with the transferred data being available on a receiving computer's clipboard, when pasted into another document in the receiving computer, the transferred data restoring as a fragment in the same format as the original document.

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.

Dynamically Altering Requests To Increase User Response To Advertisements

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US Patent:
20070150343, Jun 28, 2007
Filed:
Mar 28, 2006
Appl. No.:
11/390766
Inventors:
John Kannapell - Bethesda MA, US
Muhammad Hussain - San Jose CA, US
M. Khan - San Jose CA, US
David Sobotka - Redwood City CA, US
Afta Zia - Santa Clara CA, US
Sudhir Tonse - Fremont CA, US
Mohan Rao - Sunnyvale CA, US
Venkata Bhamidipati - Fremont CA, US
Pratibha Gupta - Sunnyvale CA, US
Shishu Bedi - Palo Alto CA, US
Donald Bragg - San Jose CA, US
Brock LaPorte - San Carlos CA, US
Justin Law - Maple Valley WA, US
Vijay Eranti - Sunnyvale CA, US
International Classification:
G06Q 30/00
US Classification:
705014000
Abstract:
Systems and methods are provided for increasing user response to advertisements. Embodiments include an optimization engine configured to identify a request from a requester; identify at least one potential keyword associated with the request; associate the at least one potential keyword with at least one criteria bin; and identify at least one keyword from the at least one criteria bin based on a weight given the at least one criteria bin; and a routing system communicating with the requester and a supplier, the routing system also communicating with the optimization engine, the routing system configured to dynamically alter the base request with the at least one keyword to form an altered request; and send the altered request to the supplier.

Active And Passive Personalization Techniques

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US Patent:
20120089623, Apr 12, 2012
Filed:
Dec 19, 2011
Appl. No.:
13/330275
Inventors:
David C. SOBOTKA - Redwood CA, US
Sudhir Tonse - Fremont CA, US
Brock D. LaPorte - San Carlos CA, US
Mike Macadaan - Livermore CA, US
David J. Liu - Chevy Chase MD, US
International Classification:
G06F 17/30
US Classification:
707751, 707736, 707E17044
Abstract:
A method for personalizing content for a particular user in a computing system comprising a user interface configured to display content. The method comprises identifying a long term profile having one or more features in a feature set and a long term level of importance associated with each term in the feature set, identifying a short term profile having one or more features in the feature set and a short term level of importance associated with each term in the feature set, identifying input related to the display of the one or more content items on the user interface, and using the input to modify the short term level of importance and the long term level of importance associated with each term in the feature set to form a modified user interest set.
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Brock D Laporte from Carnelian Bay, CA, age ~62 Get Report