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Mikhail Faiguenblat

from Alameda, CA
Age ~50

Mikhail Faiguenblat Phones & Addresses

  • 6 Decelle Ct, Alameda, CA 94501 (510) 864-3917
  • 470 Central Ave, Alameda, CA 94501 (510) 522-7247
  • Emeryville, CA
  • Sunnyvale, CA
  • San Jose, CA
  • Palo Alto, CA

Work

Company: Exponential Jul 2008 Position: Principal software engineer

Education

Degree: Bachelors, Bachelor of Arts School / High School: University of California, Berkeley 1992 to 1996 Specialities: Computer Science

Languages

English • Russian • Japanese

Interests

Cooking • Exercise • Investing • Sweepstakes • Electronics • Home Improvement • Reading • Crafts • Gourmet Cooking • Home Decoration

Industries

Computer Software

Resumes

Resumes

Mikhail Faiguenblat Photo 1

Principal Software Engineer

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Location:
6 Decelle Ct, Alameda, CA 94501
Industry:
Computer Software
Work:
Exponential
Principal Software Engineer

Exponential May 2007 - Jul 2008
Senior Software Engineer

Sap Ariba Apr 2004 - May 2007
Senior Software Engineer

Softface Oct 2000 - Apr 2004
Senior Software Engineer

More Oct 1999 - Oct 2000
Software Engineer
Education:
University of California, Berkeley 1992 - 1996
Bachelors, Bachelor of Arts, Computer Science
Voronezh State University 1990 - 1992
Interests:
Cooking
Exercise
Investing
Sweepstakes
Electronics
Home Improvement
Reading
Crafts
Gourmet Cooking
Home Decoration
Languages:
English
Russian
Japanese

Publications

Us Patents

Advertisement Selection Using Multivariate Behavioral Model

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US Patent:
20130238425, Sep 12, 2013
Filed:
Mar 9, 2012
Appl. No.:
13/416778
Inventors:
Alexander Saldanha - Berkeley CA, US
Mikhail Faiguenblat - Alameda CA, US
Assignee:
EXPONENTIAL INTERACTIVE, INC. - Emeryville CA
International Classification:
G06Q 30/02
US Classification:
705 1448, 705 1471
Abstract:
An advertising system identifies behaviors from user activity and associates the behaviors with a user profile. Advertisers provide the advertising system with information on conversion rates of users associated with user profiles. A behavioral model of user responses is built to identify the relative frequency of behaviors for increasing the response rate of ads. Incoming advertising requests are matched to modeled behaviors to determine an advertiser's interest in bidding on the ad placement.
Mikhail Faiguenblat from Alameda, CA, age ~50 Get Report