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Vassilis A Papavassiliou

from Oakland, CA
Age ~51
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Also known as:
Vassilis Argyrus Papavassiliou, Vassilis Tr Papavassiliou, Vassilis M Papavassiliou, Vassilis Papavasiliou, Vassilis A Papavassilio, Papavassiliou Vassilis Argyrus, Papavassiliou Vassilis, Iliou Vassili Argyruspapavass, N U
Phone and address:
2421 Potomac St, Oakland, CA 94602
(510) 531-6720
Related to:
Vassilli A PapavassiliouAnna X Papavassiliou, 87Eugenia PapavassiliouNicholas A PapavassiliouAspasia A Papavassiliou, 53Sophia C Mavroidis, 47Denise Mavroidis, 40
Connected to:
Angela N Papavasiliou, 47Chrysanthe Papavasiliou, 80John Papavasilion, 87Symeon Papavassiliou, 57Benjamin A Papay, 46Christian M Papay, 52Debbie J Papay, 68Kimberly D Papay, 60Tyler J Papaz, 41Carol A Papazian, 56

Vassilis Papavassiliou Phones & Addresses

  • 2421 Potomac St, Oakland, CA 94602 (510) 531-6720 (510) 531-8868
  • 2449 Potomac St, Oakland, CA 94602 (510) 531-6720 (510) 531-8868
  • 7500 Altura Pl, Oakland, CA 94605 (510) 969-5486
  • 4432 Arcadia Ave, Oakland, CA 94602
  • 2242 Coloma St, Oakland, CA 94602 (510) 531-6720
  • Berkeley, CA
  • San Francisco, CA
  • Alameda, CA

Work

Position: Investor

Education

Degree: Doctorates, Doctor of Philosophy School / High School: University of California, Berkeley 2003 Specialities: Computer Science, Engineering

Skills

Java • Distributed Systems • Software Development • Sql • Linux • Clojure • Apache Spark • A/B Testing • Functional Programming • Scala • Design of Experiments • Continuous Integration • Continuous Delivery • Cloud Computing • Online Advertising • Cryptocurrency • Cryptography • Low Latency

Industries

Computer Software

Resumes

Resumes

Vassilis Papavassiliou Photo 1

Investor

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Location:
701 south Santa Fe St, Pauls Valley, OK 73075
Industry:
Computer Software
Work:

Investor
Credit Karma Oct 2015 - Jun 2017
Principal Data Scientist, Head of Data
Google Dec 2009 - Jun 2013
Software Engineer - Technician Lead
Teracent Jun 2006 - Dec 2009
Principal Scientist
Education:
University of California, Berkeley 2003
Doctorates, Doctor of Philosophy, Computer Science, Engineering
Skills:
Java
Distributed Systems
Software Development
Sql
Linux
Clojure
Apache Spark
A/B Testing
Functional Programming
Scala
Design of Experiments
Continuous Integration
Continuous Delivery
Cloud Computing
Online Advertising
Cryptocurrency
Cryptography
Low Latency

Publications

Us Patents

Heat Dissipation Assembly

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US Patent:
20080037222, Feb 14, 2008
Filed:
Feb 16, 2007
Appl. No.:
11/676118
Inventors:
Vikas Jha - Hillsborough CA, US
Vassilis Papavassiliou - Oakland CA, US
Rajeev Bector - Saratoga CA, US
Vishal Goenka - San Mateo CA, US
Sailendra Padala - San Mateo CA, US
International Classification:
H05K 7/20
US Classification:
361709000
Abstract:
In accordance with one embodiment, the assembly includes a chassis with a board mounted to it that has one or more electronic components. Spaced apart from the board is a bridge heat sink. A heat transfer block is positioned adjacent the electronic component of the board with the heat transfer block in thermal communication with the electronic component to afford transferring of heat (e.g., conductive transfer of heat) from the electronic component to the heat transfer block. An opposite end of the heat transfer block is adjacent the bridge heat sink. The bridge heat sink has at least a portion located externally from the chassis so that the bridge heat sink (which is in thermal communication with the heat transfer block) affords the transferring of heat from the heat transfer block to an environment external to the chassis.

Methods And Apparatus To Cluster User Data

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US Patent:
20120059707, Mar 8, 2012
Filed:
Aug 31, 2011
Appl. No.:
13/223239
Inventors:
Vishal Goenka - Foster City CA, US
Anurag Agarwal - Sunnyvale CA, US
Arun Dev Qamra - Santa Clara CA, US
Vassilis Papavassiliou - Oakland CA, US
Daishi Harada - Oakland CA, US
Rajas Moonka - San Ramon CA, US
David Monsees - San Francisco CA, US
Assignee:
GOOGLE INC. - Mountain View CA
International Classification:
G06Q 30/02
G06F 17/30
US Classification:
705 1441, 707737, 705 1471, 705 1449, 705 1467, 707E17089
Abstract:
Among other disclosed subject matter, a computer-implemented method includes receiving a first data set associated with a first data provider. The first data set includes a first set of data attributes associated with a first set of users. The method includes receiving a second data set associated with a second different data provider. The second data set includes a second set of data attributes associated with a second set of users. The method includes generating user cluster information based at least in part on at least one common data attribute associated with the first set of users and the second set of users. The method includes providing the user cluster information to a data purchaser.

System, Method And Computer Program Product For Selecting Internet-Based Advertising

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US Patent:
20070260520, Nov 8, 2007
Filed:
Jan 18, 2007
Appl. No.:
11/624618
Inventors:
Vikas Jha - Hillsborough CA, US
Vassilis Papavassiliou - Oakland CA, US
Rajeev Bector - Saratoga CA, US
Vishal Goenka - San Mateo CA, US
Sailendra Padala - San Mateo CA, US
Assignee:
TERACENT CORPORATION - Foster City CA
International Classification:
G06Q 30/00
US Classification:
705014000
Abstract:
Embodiments of a system method and computer program product for selecting an advertisement and presenting it to a user are described. Products and services offered by various merchants are read using a merchant specific catalog and stored in a common format. Categories for such products and services are normalized and virtual categories are created using various product attributes. Visual creatives, termed as ad-templates are created to control the visual and interactive aspects of the ad, including ad-size, color, as well as product attributes that are displayed in the ad. Ad-templates may be constrained to specific products or product categories. A learning algorithm uses an adaptive sampling process to sample various products, product categories and ad-templates independently for different learning units such as individual users, groups of users determined by some demographics, individual web pages and groups of web pages grouped using various similarity criteria. The performance of the ad is measured using various learning statistics, such as the click-through-rate, conversion rate, etc. The learning algorithm uses the learning statistics to optimize the return for the advertiser by favoring the products or categories that perform better on one or more specified criteria.

System, Method And Computer Program Product For Selecting Internet-Based Advertising

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US Patent:
20210133768, May 6, 2021
Filed:
Jan 11, 2021
Appl. No.:
17/146452
Inventors:
- Mountain View CA, US
Vassilis Argyrus PAPAVASSILIOU - Oakland CA, US
Rajeev BECTOR - Saratoga CA, US
Vishal GOENKA - San Mateo CA, US
Sailendra PADALA - San Mateo CA, US
Assignee:
Google LLC - Mountain View CA
International Classification:
G06Q 30/02
Abstract:
Embodiments of a system method and computer program product for selecting an advertisement and presenting it to a user are described. Products and services offered by various merchants are read using a merchant specific catalog and stored in a common format. Categories for such products and services are normalized and virtual categories are created using various product attributes. Visual creatives, termed as ad-templates are created to control the visual and interactive aspects of the ad, including ad-size, color, as well as product attributes that are displayed in the ad. Ad-templates may be constrained to specific products or product categories. A learning algorithm uses an adaptive sampling process to sample various products, product categories and ad-templates independently for different learning units such as individual users, groups of users determined by some demographics, individual web pages and groups of web pages grouped using various similarity criteria. The performance of the ad is measured using various learning statistics, such as the click-through-rate, conversion rate, etc. The learning algorithm uses the learning statistics to optimize the return for the advertiser by favoring the products or categories that perform better on one or more specified criteria.

System, Method And Computer Program Product For Selecting Internet-Based Advertising

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US Patent:
20180365707, Dec 20, 2018
Filed:
Aug 13, 2018
Appl. No.:
16/102470
Inventors:
- Mountain View CA, US
Vassilis Argyrus PAPAVASSILIOU - Oakland CA, US
Rajeev BECTOR - Saratoga CA, US
Vishal GOENKA - San Mateo CA, US
Sailendra PADALA - San Mateo CA, US
Assignee:
Google LLC - Boston MA
International Classification:
G06Q 30/02
Abstract:
Embodiments of a system method and computer program product for selecting an advertisement and presenting it to a user are described. Products and services offered by various merchants are read using a merchant specific catalog and stored in a common format. Categories for such products and services are normalized and virtual categories are created using various product attributes. Visual creatives, termed as ad-templates are created to control the visual and interactive aspects of the ad, including ad-size, color, as well as product attributes that are displayed in the ad. Ad-templates may be constrained to specific products or product categories. A learning algorithm uses an adaptive sampling process to sample various products, product categories and ad-templates independently for different learning units such as individual users, groups of users determined by some demographics, individual web pages and groups of web pages grouped using various similarity criteria. The performance of the ad is measured using various learning statistics, such as the click-through-rate, conversion rate, etc. The learning algorithm uses the learning statistics to optimize the return for the advertiser by favoring the products or categories that perform better on one or more specified criteria.
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Vassilis A Papavassiliou from Oakland, CA, age ~51 Get Report