Rick Dodge Email & Phone Number

Lincoln, Nebraska, United States

Application owner and SME of the internal search engine team. Working on the Lucidworks / Solr platform

Upgrade our Search Engine from Vivisimo 8 to IBM Watson 10 to IBM Watson 11 and migrating to Lucidworks Database upgrade from Oracle 11g to 12cResponsible for developing and maintaining our reporting website that currently has 150+ custom reports. Site is written in aspx.net and uses an Oracle 12c DB. Reporting site used aspx and JS highcharts.Responsible for end user usage and website reporting. This includes writing custom software to gather and store data to produce actionable reporting on how users use the search engine and also how the search engine is performingResponsible for maintaining our team Jira board to ensure accurate workflow tracking throughout the agile development cycleResponsible for overseeing testing efforts during the release cycle. This included: unit, integration, system, acceptance, performance, and usability testing.Responsible for the team’s production code deploymentResponsible for team’s disaster recovery process documentation and implementation

Search engine platform migration to Lucidworks v4.2.5 running Solr v7.7. This project involved working with multiple, multidisciplinary teams and managing work efforts and timelines. Additionally, this involved migrating a legacy on-prem application to be hosted on Verizon’s AWS private cloud

Application owner and team lead of Enterprise Search Engine team since 2018Team member on the Enterprise Search team since 2012Responsible for building indexing processes to ingest knowledge management documents into the Fusion/Solr index. Worked on indexing data from different data sources: web, db, and solr xml file.Responsible for building and maintaining Fusion/Solr query pipelines to return the most relevant results to user queries. Customized query pipelines for specific use cases and user groups. Wrote relevancy scoring modifiers based on content type to improve overall organic results.Designed machine learning processes to automatically promote search result content based on user interactionDesigned a user based A/B testing methodology. This enabled the team to accurately design and run A/B testing on various Fusion based changes.Designed and maintained our Search Term Efficiency and Optimization Report. This report uses 15 different metrics to score how efficient a search term is performing. This data is then used to optimize low performing search terms.

Received letter of commendation for outstanding service in basic training (August 1992) Completed AIT (Advanced Individual Training) July 1993Received Class A ACDL July 1993