Julie Tibshirani
Staff Software Engineer at Databricks
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolJulie Tibshirani is a Staff Software Engineer with 11 years of experience building large-scale search and data systems, currently on Databricks' Developer Platform in the San Francisco Bay Area. She has led search platform teams at Sourcegraph and driven core Elasticsearch and Apache Lucene development at Elastic, with deep expertise in vector search, relevance tuning, and high-performance query execution. Her contributions to top open-source projects like Elasticsearch and Lucene include performance refactors, kNN/vector search work, and improving test reliability—skills she applies to production-grade code search, semantic search, and ML evaluation infrastructure. Prior roles at Palantir and research at Stanford underpin her strengths in backend systems, indexing, and platform APIs. A not-obvious detail: she combines hands-on Java/ systems engineering with practical ML-aware search features, bridging traditional IR and emergent LLM-driven code understanding.
11 years of coding experience
13 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (22)
algorithm10
lucene10
algorithms10
c-language10
testing10
amazon-elasticsearch10
machine-learning10
indexing10
java10
javas10
elasticsearchquery10
go10
aws-elasticsearch10
elasticsearch10
cprogramming-language10
Programming languages (8)
Github contributions (5)
grf-labs/grf
Aug 2016 - Jun 2021
Generalized Random Forests
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 33 reviews, 700 commits in 4 years 11 months
Contributions summary:Julie's commits focused on refactoring and improving the existing codebase of a generalized random forest project. The user removed unused method signatures and includes, updated the public/private visibility of methods, implemented new functionalities, and fixed several bugs. They also implemented and fixed an issue related to a dedicated type of forest used to address a specific research-related application.
random-forestdata-sciencemachine-learningforestscausal-inference
apache/lucene
Feb 2023 - Feb 2023
Apache Lucene open-source search software
Role in this project:Back-end Developer
Back-end DeveloperContributions:265 reviews, 2 commits, 83 PRs in 1 day
Contributions summary:Julie's primary contribution focused on enhancing the `lucene/sandbox` module, implementing a new range query leveraging index sorting. This involved writing and testing new Java code within the Lucene search library, specifically for `SortedNumericDocValues` fields. The changes indicate a focus on improving search performance through optimized query execution strategies. Additionally, they demonstrate a solid understanding of indexing, searching, and testing in the context of a search engine.
nosqlfulltext-searchsolrapachesearch-engine
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.