Kickstart Software, LLC since Oct 2008
Independant Contractor
Admit One Security Mar 2007 - Oct 2009
Engineer
Clearsight Systems Oct 2004 - Feb 2006
Software Engineer
The Boeing Company Mar 2002 - Sep 2004
Embedded Software Engineer
Logikos, Inc. 2001 - 2001
Intern
Education:
Rose-Hulman Institute of Technology 1998 - 2002
Skills:
C++ C# Python Objective C Java Lua Mobile Applications Web Development Servers Node.js Software Development Agile Methodologies Javascript Linux Html 5 Visual Studio Perl C Web Services User Interface Design Mobile Devices Ios Development Testing Rest Xml Test Driven Development Distributed Systems Test Automation .Net Mysql Sql Android Software Engineering Php Software Design Subversion Microsoft Sql Server Silverlight Scrum Agile Project Management Object Oriented Design Web Applications Entrepreneurship Scalability Git Ruby on Rails Ruby Postgresql
Languages:
English French Dutch German Spanish Swedish Italian Turkish Greek
Objective C .Net Distributed Systems Software Design Git Subversion Linux Test Automation Rest C Silverlight Agile Project Management Node.js Ruby Html 5 Perl Web Applications Visual Studio Microsoft Sql Server Web Development Agile Methodologies Scrum Mobile Applications Ios Development Java Postgresql Xml Android Entrepreneurship Testing Web Services Php Javascript C++ Scalability Ruby on Rails Software Engineering Sql Python Test Driven Development User Interface Design Software Development Mobile Devices Servers C# Object Oriented Design Mysql Lua
Languages:
English French Dutch German Spanish Swedish Italian Turkish Greek
Alan Balasundaram - Renton WA, US Kevin Foreman - Sammamish WA, US Rajiv Nandivada - Bothell WA, US Ka Wang Yee - Renton WA, US
Assignee:
INRIX, Inc. - Kirkland WA
International Classification:
G08G 1/00
US Classification:
701117, 701118, 701119
Abstract:
Among other things, one or more techniques and/or systems for forecasting traffic and concurrently presenting images of forecasted traffic are disclosed to facilitate more efficient departure and/or navigation by providing an outlook of anticipated traffic flow for an area and/or a route (e. g. , associated with an origin and destination), for example. A predicted traffic pattern and/or associated navigation may be provided and/or generated based upon traffic data (e. g. , historical traffic data, current traffic data, and/or predicted traffic data). Additionally, a suggested departure time may be provided to mitigate travel time to and/or from a destination, for example. Accepted suggestions may be associated with predicted traffic data to update predicted traffic patterns (e. g. , predicted traffic data) thereafter. Accordingly, travelers may be provided with traffic forecasting to enable more desirable travel experiences (e. g.
Systems, Devices, Articles And Methods For Tracking User Referral Actions
- Seattle WA, US Bryan Short - Seattle WA, US Joseph Kotkins - Seattle WA, US Saurabh Kothari - Woodinville WA, US Andy Thivyanathan - Kent WA, US Alan Balasundaram - Renton WA, US Tim Killian - Seattle WA, US
International Classification:
H04L 29/08 G06F 17/30
Abstract:
Systems, methods and articles that detect or otherwise analyze dark social traffic, which traffic was previously designated as “direct traffic” by Web analytics tools. The dark social traffic may be attributed to social channels which allows social marketers to analyze and prove the value of social marketing to their business. Such detection of dark social traffic may include analyzing a Web address included in a Web page request to determine whether the Web address (e.g., URL) includes at least one tracking parameter, which provides an indication that the Web page request emanated from a social share rather than direct traffic. Metadata present in a Web page request may be analyzed to determine the referrer source even when the source does not pass a referrer URL.
Systems, Devices, Articles And Methods For Tracking And/Or Incentivizing User Referral Actions
- Seattle WA, US Alan Roy Balasundaram - Renton WA, US Joseph Henry Kotkins - Seattle WA, US
Assignee:
Inside, Inc. - Seattle WA
International Classification:
G06Q 30/02
US Classification:
705 1416, 705 1445
Abstract:
Tracking, and possibly rewarding or incentivizing those who drive traffic includes causing sharing actions via social networking or media platforms to register such actions with a tracking server. Sharing may be via sharing widgets, posting on Web pages, and/or copying and pasting URLs. The effectiveness of the tracking may be tracked, including over generations. Incentives may be based on effectiveness of sharing actions, for example number of clicks, or social and actual revenue generated. Incentives may include access through a pay wall Website or free or discounted access to content, products, or services.
Googleplus
Alan Balasundaram
Bragging Rights:
I have a belly button.
Youtube
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