This is a summarized and brief resume. For more details, you can connect with me on LinkedIn. Be sure to check out my goals as well.

  • Cleveland State University, Cleveland Ohio
    • Computer Information Systems, Masters
    • On hold, in-completed
  • Kent State University, Kent, Ohio
    • Computer Science, Undergraduate
    • Graduated May 2005
Employment History
  • CrossView Inc, WebSphere Commerce Developer, ProAAMS
    • March 2011 - Current
  • Rosetta, Technology Manager, WebSphere Commerce and Java Solution Center
    • June 2008 - March 2011
  • KeyBank, Lead Application Systems Developer, Enterprise Data Architecture
    •  July 2005 - June 2008
  • Languages - C/C++, Python, Javascript, Java, PHP, Ant
  • Platforms - IBM WebSphere Commerce, Google App Engine, Linux Systems, Version Control
  • Data - Modeling, Searching, Spatial, Relational
  • Leadership - Work break down, estimation, code reviews, technical designs, team leadership
  • Scalability, performance, caching techniques
  • Human-computer interaction, usability, user studies
  • Location intelligence and visualization
  • Python, Javascript
  • Big data, search, data modeling
Professional Projects
  • Bealls Florida WebSphere Commerce Production Support
    • Javascript and UI customizations
  • Intersections WebSphere Commerce Implementation 
    • Focus on build / deployment customization
    • Multi-site implementation with code re-used and site specific customizations
    • JMS / MQ integration configuration
    • Code reviews, work break down, architecture, design
  • Coach Japan WebSphere Commerce Implementation
    • Site globalization, localization, internationalization, timezone customizations
    • Real time inventory and cache invalidation
    • Full payment management and integration
    • Unit test integration
  • Coach WebSphere Commerce Implementation
    • Data feed integration
    • Store specific caching and data propagation
    • Production support, site stabilization, memory analysis
  • Data Relationship Visualization
    • Visual relationship navigation via search and graph node clicks
    • Storage of data relationships cross platform for visualization
  • Location Intelligence Proof of Concept
    • Mapping solutions to realize risk scenarios for loan evaluation
    • Spatial data concepts and open source stack used for concept 
  • Data Disguisement
    • Data translation for proper disguisement of data between production and test environments
    • Share development of disguisement assets for reuse
Personal / Academic Projects
  • Gmail and Google Latitude Integration
    • SMS location to Gmail to update Latitude location status
    • Command line tool using Python and OAuth
  • Document Summarization
    • Documentation search and summarization in Python
    • Search results in summaries rather than links to documents
  • Data Mix
    • Data randomization to shuffle data within itself for reuse in test systems
  • File Synchronization
    • Threaded file synchronization implementation 

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