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.
Education
- Cleveland State University, Cleveland Ohio
- Computer Information Systems, Masters
- On hold, in-completed
- Kent State University, Kent, Ohio
- Computer Science, Undergraduate
- Graduated May 2005
- 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
- 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
- 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