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Mark Lanett Phones & Addresses

  • 532 Connecticut St, San Francisco, CA 94107 (415) 826-2177
  • Cupertino, CA
  • Champaign, IL
  • San Jose, CA
  • 532 Connecticut St, San Francisco, CA 94107 (415) 652-4671

Work

Company: Classpass Oct 2016 Position: Principal engineer

Education

School / High School: University of Illinois at Urbana - Champaign

Skills

Agile Methodologies • Web Services • Git • Ruby on Rails • Javascript • Software Engineering • Mysql • Ruby • Software Development • Mongodb • Saas • Web Applications • Objective C • Mobile Applications • Linux • Rest • Xml • Scrum • Java

Languages

English

Interests

Horses • Investing • Outdoors • Electronics • Scuba Diving • Reading • Sports • Travel

Emails

Industries

Consumer Services

Resumes

Resumes

Mark Lanett Photo 1

Principal Engineer

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Location:
532 Connecticut St, San Francisco, CA 94107
Industry:
Consumer Services
Work:
Classpass
Principal Engineer

Emmerge Feb 2015 - Sep 2016
Architect at Emmerge

Adobe Aug 2013 - Jan 2015
Architect

Adobe Jan 2012 - Aug 2013
Engineering Manager

Context Optional Aug 2011 - Jan 2012
Director of Engineering
Education:
University of Illinois at Urbana - Champaign
Hogwarts School of Witchcraft and Wizardry
Skills:
Agile Methodologies
Web Services
Git
Ruby on Rails
Javascript
Software Engineering
Mysql
Ruby
Software Development
Mongodb
Saas
Web Applications
Objective C
Mobile Applications
Linux
Rest
Xml
Scrum
Java
Interests:
Horses
Investing
Outdoors
Electronics
Scuba Diving
Reading
Sports
Travel
Languages:
English

Publications

Us Patents

Techniques For Topic Extraction Using Targeted Message Characteristics

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US Patent:
20150262238, Sep 17, 2015
Filed:
Mar 17, 2014
Appl. No.:
14/216579
Inventors:
- San Jose CA, US
Mark Lanett - San Francisco CA, US
Paul Jones - Lehi UT, US
Assignee:
Adobe Systems Incorporated - San Jose CA
International Classification:
G06Q 30/02
G06F 17/30
H04L 12/58
G06F 17/27
Abstract:
Disclosed are various embodiments for obtaining messages from content sites accessible via a network. Filtered messages are identified from the messages using filter criteria to identify ones of the messages having one or more characteristics relevant for a particular marketing circumstance. A topic is selected based on determining that multiple occurrences of the filtered messages relate to the topic. Based on selecting the topic, recommending the topic for targeted marketing in the identified marketing circumstance.

Automatically Applying Tracking Codes To Electronic Content Published Via A Social Media Service

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US Patent:
20140372204, Dec 18, 2014
Filed:
Jun 12, 2013
Appl. No.:
13/915917
Inventors:
- San Jose CA, US
Craig Christopher Stoe - Mill Valley CA, US
Scott Jeremy Kleper - San Francisco CA, US
Mark Carlos Lanett - San Francisco CO, US
Tyler William Carlton - Highland UT, US
International Classification:
G06Q 30/02
G06Q 50/00
US Classification:
705 1445
Abstract:
Systems and methods for are provided for automatically applying a tracking code to content items accessible via a social media service. In one embodiment, a method is executed by a processor. The processor generates a tracking code identifying a marketing campaign. The processor publishes the content item via the social media service with a link to an electronic content source and the tracking code. The processor generates analytics based on the tracking code. The analytics track multiple interactions with the electronic content source originating from the link to the electronic content source included with the content item as published via the social media service.
Mark C Lanett from San Francisco, CA, age ~54 Get Report