Philip Zigoris

IR Engineer at Spock Networks

San Francisco Bay Area

Current
  • IR Engineer at Spock Networks
Past
  • Research Intern/Engineer at IBM
  • Graduate Student at UC Santa Cruz
Education
  • University of California, Santa Cruz
  • Cornell University
Connections
54 connections
Industry
Computer Software
Websites

Philip Zigoris’s Summary

Research revolved around statistical modeling for information retrieval and fault detection. Industry experience in large scale data mining and information retrieval (both from a modeling and architecture standpoint).

Philip Zigoris’s Specialties:

Machine Learning, Statistics, Information Retrieval, Network Services, Search/Index Architecture


Philip Zigoris’s Experience

  • IR Engineer

    Spock Networks

    (Privately Held; 11-50 employees; Internet industry)

    February 2007Present (1 year 9 months)

    Frontend search services:
    - autocomplete
    - search aggregation
    - spellchecker

    Backend data-mining projects include mining web references, crawling/indexing, conflation, mining architecture.

    Technologies: Python, Perl, C, MySQL, SQL, Xapian, threads, OOP, regex, amazon web services (S3, EC2, SimpleDB)

  • Research Intern/Engineer

    IBM

    (Public Company; IBM; Information Technology and Services industry)

    May 2006December 2006 (8 months)

    Significantly improved core Content Protection technology using methods from statistical machine learning.

    Developed extensible Bayesian Network Toolkit (Java)

  • Graduate Student

    UC Santa Cruz

    (Educational Institution; Higher Education industry)

    September 2004December 2006 (2 years 4 months)

    TA'd graduate algorithms course (maintained office hours, graded homework & tests)

    Research centered on methods from machine learning as applied to:
    - software verification
    - image segmentation
    - personalized document ranking models
    - information extraction using tree alignment models


Additional Information

Philip Zigoris’s Websites:


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