John Doody

Software Engineer in Test in IBM

Location
Ireland
Industry
Computer Software

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John Doody's Overview

Current
  • Software Engineer at IBM, Dublin Software Lab
Past
Education
  • University College Dublin
Connections

152 connections

John Doody's Summary

Relevant Experience

Languages : Java, C++, Http, Javascript, SQL, Python
Development Methodologies : Agile, Waterfall
Frameworks : Java Servlets, JSPs, JSTL, Enterprise Java Beans (EJB), Swing, Network Programming
Main Dev. Tools : Eclipse, Netbeans
Automation : Selenium, Lotus Automator, Rational Functional Tester (RFT)
Documentation : LATEX(typography), GNUPlot (statistical data), Office Tools (report generation)
OS : Linux, Windows, MacOS

John Doody's Experience

Software Engineer

IBM, Dublin Software Lab

Public Company; 10,001+ employees; IBM; Information Technology and Services industry

November 2009Present (3 years 8 months)

for System Verification Testing of IBM SmartCloud (formely Lotus Live)
and IBM Sametime.
Worked in Build, Functional, Integration, Reliability and System Verification Testing
Developed and Maintained a suite of Performance and System Test tools (Java, RFT,
Selenium).
Led a sub-team in the developement of a suite of automated scripts to aid all aspects
of testing (Lotus Automator, Shell Scripting, Python, Java).
Developed and implemented test plans and generated detailed status and completion
reports)

Educational Institution; 1001-5000 employees; Higher Education industry

August 2004September 2009 (5 years 2 months) Belfield Dublin

- Research Assistant working on Recommender Systems
- Teaching Assistant
Recommander Engine and Techniques
Built a variety of web-based recommender systems to showcase underlying recommednation
techniques
Specialised in case-based reasoning, data mining, intelligent user interfaces, product
recommendation.

Clearance Centre Operative

Bank of Ireland

Public Company; 10,001+ employees; IRE; Banking industry

April 2000January 2001 (10 months)

John Doody's Publications

  • Combining Visualization and Feedback for Eyewear Recommendation

    • FLAIRS
    • 2006
    Authors: John Doody
  • iCARE: intelligent customer assistance for recommending eyewear

    • IUI
    • 2005
    Authors: John Doody
  • Extending User Vision in theiCARE System

    • Expert Update
    • 2010
    Authors: John Doody
  • Addressing the ’Vocabulary Gap’ in Product Recommenders.

    • Expert Update
    • 2007
    Authors: John Doody
  • Cumulative Query Revision in Case-Based Recommender Systems

    • Expert Update
    • 2005
    Authors: John Doody
  • The iCARE System: A Broader View.

    • UKCBR
    • 2006
    Authors: John Doody
  • Using Product Visualization for Preference Elicitation in Case-Based Recommenders.

    • UKCBR
    • 2005
    Authors: John Doody
  • Cumulative Query Revision in CBR Recommender Systems.

    • UKCBR
    • 2005
    Authors: John Doody

John Doody's Education

University College Dublin

BSc, Computer Science

20002004

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