Rahul G
Sr. Staff Software Engineer at The Apache Software Foundation
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRahul G is a Sr. Staff Software Engineer in Oakland with 11 years building large-scale backend systems for analytics, observability, and search. He currently works on Slack Search and is an active committer on Apache projects including Druid and HBase, reflecting deep distributed-systems and data-store expertise. Prior roles at Apple, Splunk, and Flurry had him design scalable pipelines, HBase/Hadoop infrastructure, and the backend for real-user monitoring as an early team architect. His open-source work includes improving SVM solvers and random-forest variable importance in the Apache MADlib repo, showing strong applied ML and numerical stability skills beyond typical backend engineering. A former PhD Statistics student at UCLA, Rahul combines rigorous quantitative thinking with practical production engineering. He’s known for bridging research-grade algorithms with production-ready, scalable implementations.
11 years of coding experience
11 years of employment as a software developer
PHD - Drop out, Statistics, PHD - Drop out, Statistics at University of California, Los Angeles
Github Skills (10)
machine-learning10
random-forest10
python10
cprogramming-language9
c-language9
algorithms8
data-structures8
algorithm8
data-structure8
postgresql8
Programming languages (6)
Github contributions (5)
apache/madlib
Apr 2017 - Feb 2019
Mirror of Apache MADlib
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:65 commits, 87 PRs, 350 comments in 1 year 10 months
Contributions summary:Rahul primarily focused on enhancing the SVM (Support Vector Machine) module within the Apache MADlib repository. Their contributions include adding a minibatch solver for SVM, improving the algorithm's efficiency, and implementing variable importance calculations for random forests. They also addressed issues related to numerical stability and ensured compatibility with the project's existing framework. The user's work primarily involved modifications to the Python and C++ code within the repository, demonstrating skills in mathematical modeling and backend development.
javaapachemadlib
apache/madlib-site
Apr 2016 - Aug 2018
Mirror of Apache MADlib site
Contributions:13 commits in 2 years 4 months
apacheperljavaco-simulationq
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