Jason Gerlowski
Software Engineer at Apple
Pittsburgh, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolJason Gerlowski is a seasoned software engineer with 12 years of experience specializing in back-end systems and search integrations, currently working at Apple out of Pittsburgh. He has deep expertise in Apache Solr—contributing performance improvements, RESTful API migrations, and startup benchmarking to the core Solr project—and drove Solr-Spark integration enhancements at Lucidworks to optimize schema handling and parallel requests. Previously at IBM and Lucidworks, he focused on backend modernization and performance tuning, combining pragmatic engineering with measurable benchmarks. Known for turning complex distributed-search problems into reliable, testable solutions, he brings both production-grade systems experience and an attention to often-overlooked startup and schema-fetch performance.
12 years of coding experience
5 years of employment as a software developer
University of Pittsburgh
Github Skills (31)
api-rest10
search-engine10
spark10
back-end-development10
api-design10
restful-api10
solr10
java10
scala10
javas10
jax-rs10
rest-api10
backend10
jersey9
performance-monitor9
Programming languages (9)
Github contributions (5)
apache/solr
Jan 2023 - Mar 2023
Apache Solr open-source search software
Role in this project:
Back-end Developer
Back-end DeveloperContributions:541 reviews, 17 commits, 292 PRs in 1 month
Contributions summary:Jason's contributions focused on enhancing the Apache Solr search software's back-end functionality. They disabled unused Jersey features to optimize application startup and migrated the ZookeeperReadAPI to JAX-RS, updating endpoints for a more RESTful design. Additionally, the user added JMH benchmarks for measuring Solr startup performance and migrated collection listing/deletion APIs to the JAX-RS framework, demonstrating expertise in API modernization and performance analysis.
nosqlsolrapachesearch-enginebackend
lucidworks/spark-solr
Jun 2018 - Feb 2020
Tools for reading data from Solr as a Spark RDD and indexing objects from Spark into Solr using SolrJ.
Role in this project:Back-end Developer
Back-end DeveloperContributions:57 commits, 21 PRs, 44 pushes in 1 year 8 months
Contributions summary:Jason primarily contributed to the `spark-solr` project by enhancing its integration with Apache Solr. Their work included upgrading the Solr version used by the project, adding support for parsing the 'score' pseudofield, and optimizing schema retrieval. They also improved performance by implementing parallel requests when fetching schema information from Solr and refined the schema information process.
solrindexingsparksolrjrdd
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