Image of Robert Petersen

Robert Petersen's Email & Phone Number

Search Guy

Robert Petersen's Email Addresses

r****[email protected] Personal Email
r****[email protected] Personal Email
r****[email protected] Personal Email
r****[email protected] Work Email

Robert Petersen's Phone Numbers

(213) ***-*327 Phone number

Robert Petersen's Work Experience

Lucidworks

Search Architect / Field Engineer

May 2018 to May 2020

San Francisco Bay Area

Frontier Communications

Senior Software Engineer & SOLR Search Specialist

August 2017 to May 2018

Everett, Washington

Rakuten AMDU

Sr. Software Engineer, Search and Big Data Department

January 2016 to May 2017

Aliso Viejo, Ca

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Robert Petersen's Education

University of California, Irvine

BS, BA

Cabrillo College

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In a nutshell

Robert Petersen's Ranking

Ranked #1,093 out of 21,860 for Senior Software Engineer & SOLR Search Specialist in California

Robert Petersen's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

3 year(s), 3 month(s)

Robert Petersen's Willingness to Change Jobs

Unlikely

Likely

Open to opportunity?

There's 91% chance that Robert Petersen is seeking for new opportunities

Robert Petersen's Professional Skills Radar Chart

Based on our findings, Robert Petersen is ...

Structured
Doer
Conceptual

What's on Robert Petersen's mind?

Based on our findings, Robert Petersen is ...

52% Left Brained
48% Right Brained

Robert Petersen's Estimated Salary Range

About Robert Petersen's Current Company

Frontier Communications

Solr Cloud, Highly Available Server Clusters, AWS, C# .Net Core2 Web API MVC Microservices, VS 2017, C#, T-Sql, Red Hat, Solr, Collection Design, Relevancy Tuning, Query Construction, ETL, APIs, monitoring.- Using Solr search to alleviate internal data lookup pain points by consolidating various data sources behind one easily searchable API while providing advanced language processing functionality such...

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Frequently Asked Questions about Robert Petersen

What company does Robert Petersen work for?

Robert Petersen works for Frontier Communications


What is Robert Petersen's role at Frontier Communications?

Robert Petersen is Senior Software Engineer & SOLR Search Specialist


What is Robert Petersen's personal email address?

Robert Petersen's personal email addresses are r****[email protected], r****[email protected], and r****[email protected]


What is Robert Petersen's business email address?

Robert Petersen's business email address is r****[email protected]


What is Robert Petersen's Phone Number?

Robert Petersen's phone (213) ***-*327


What industry does Robert Petersen work in?

Robert Petersen works in the Computer Software industry.


About Robert Petersen

📖 Summary

Search Architect / Field Engineer @ Lucidworks Fusion search product based upon Solr. Fusion is the next generation of search. Fusion Server is built with open source, open core Apache Solr, the most popular, reliable, and powerful search technology in the world. Apache Spark provides a processing framework that can produce aggregates and perform other complex processing and algorithms on massive volumes of raw data. Process incoming data streams and feeds with real-time ingestion so the index is always up to date. From May 2018 to May 2020 (2 years 1 month) San Francisco Bay AreaSenior Software Engineer & SOLR Search Specialist @ Frontier Communications Solr Cloud, Highly Available Server Clusters, AWS, C# .Net Core2 Web API MVC Microservices, VS 2017, C#, T-Sql, Red Hat, Solr, Collection Design, Relevancy Tuning, Query Construction, ETL, APIs, monitoring.- Using Solr search to alleviate internal data lookup pain points by consolidating various data sources behind one easily searchable API while providing advanced language processing functionality such as address synonyms, spelling corrections, and type-ahead for their customer service call centers.- Strategized with bizdev, operations, and database departments to pipe in data and represent it so as to meet their needs most effectively.- Led a resolution to bring search infrastructure up to date while also implementing new search indexes to meet business requirements, lessen database dependencies and increase internal efficiencies for various departments helping support the bottom line.- Led the design of API methods supporting new best of breed UI features driven by search functionality & leading third party UI teams in implementing these features successfully. From August 2017 to May 2018 (10 months) Everett, WashingtonSr. Software Engineer, Search and Big Data Department @ Rakuten AMDU I have transitioned into Rakuten's Big Data Department's Americas Global Search Platform team now. I currently still handle all search related duties for the US Rakuten retail web site leveraging the new platform being rolled out worldwide which replaces the SOLR cluster I built locally. This new platform is a customized stack of open source technologies consisting of Cassandra for storage, Hadoop for creating solr index segments which are merged into a SOLR search index where of course SOLR still powers the searching api with nginx endpoints. I swapped out our local SOLR farm with the global search platform and rewrote all the surrounding and supporting code to accommodate this change. The nice thing about this was I was able to keep the API which I expose to our webdev team exactly the same. Now I am able to bring them new features in an expedient manner and have support from a global operations team to handle hardware and low level issues (where I used to handle all that also) and a global search team to handle the core search feature development. I have driven a few initiatives for new features we needed (which I had previously developed locally). I suggested using the cassandra storage which holds a flattened representation of our data to power other parts of our site so they do not need to rely on sql server anymore which was always the bottleneck. Now we are expanding on my idea to power not only all the data needed to populate a search results page but also our product pages and other parts of our retail web site so that we can reduce db dependencies which has resulted in a ten fold decrease in page load times and will greatly reduce the load on our production read only db server farm where load vs replication was always an issue. It was just an idea I had one day while working on the transition. From January 2016 to May 2017 (1 year 5 months) Aliso Viejo, CaSr. C# S/W Engineer, Search Department @ Rakuten.com I am writing window and web services in C# in VS 2008/2010/2012 using TFS for source control and as a build server. I write T-SQL stored procedures for SQL Server 2008/2012. I write all our search related code, configure our Tomcat and Solr instances, and build tools for our operations department to monitor and restart everything in case of failures. We run Solr in Tomcat on RedHat Linux boxes. I have created Bash shell scripts to allow our operations department to restart Tomcat and monitor the Tomcat logs. I have tuned the JVM and the Solr caches to avoid OOM errors. I've installed 'probe' into tomcat for remote monitoring over the web and tested used solrmeter, both of which are open source tools.Indexing features:Index product data from various database sources to build a search index using a multithreaded windows service attached to our queue system. I have written various database jobs to populate the queue with recently changed product skus in a near real time manner. Also I wrote a boundary web service to allow other jobs to also automatically enqueue new or updated skus from other sources for reindexing. Also I created a tool to manually select skus from the database or data files and enqueue them directly for reindexing. Searching features:The search web services run on a farm of IIS servers and take user queries from the web site and translate them into well formed SOLR queries and send them into the SOLR slave farm. Responses are minimal ids and are ‘rehydrated’ on the way out through a cached DB lookup layer for their various corresponding textual names. If there are no results for a user’s search, we try again using a double metaphone encoded catch-all search field which will usually take care of misspelled search terms and return relevant results despite the misspelling. From September 2010 to January 2016 (5 years 5 months) Aliso Viejo, California 92656Senior Software Engineer @ Buy.com I took over the search department from the old search guy as he left. Our search was originally implemented in C++ running on the Alta Vista search engine. Search was exposed to the web site via DCOM interfaces. On the back end we used MSMQ to send and aggregate search behavior data for reporting purposes. Later I started experimenting with using a C#/T-SQL wrapper around Lucene.Net open source project to replace the aging C++/Alta Vista/DCOM solutions.I built ASP.NET pages for our intranet site which integrated to a backend campaign manager for promotional featured search sections of our search results pages. I also built out a unified feed consumer which handled weekly data feeds from all the major music labels of their new songs/albums and entered their data specifics into our databases. Also I took the actual music file they supplied us and applied DRM (digital rights management) controls and finally uploaded them to our download servers for consumers to purchase. From November 2003 to August 2010 (6 years 10 months) Aliso Viejo


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