Stefan Vodita

Software Engineer at The Apache Software Foundation

Dublin, Ireland
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Summary

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Rockstar
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Top School
Stefan Vodita is a Software Development Engineer II based in Dublin with seven years of experience building scalable search and indexing systems, currently working on Amazon's Product Search. At Amazon he improved business-impacting features like configurable products, sped up index back-fills fourfold, and brought statistical rigor to benchmarking to reduce noise and bias. An active Apache Lucene committer and PMC member, he contributes low-level memory and testing improvements to one of the most widely used open-source search libraries. His background blends hands-on backend engineering with academic teaching experience, reflected in a strong foundation in algorithms and systems from University POLITEHNICA of Bucharest. Colleagues describe him as a pragmatic engineer who pairs production-focused optimizations with careful measurement—often surfacing subtle correctness and performance issues that others miss.
code8 years of coding experience
job5 years of employment as a software developer
bookGraphics, Game development, Game design, Graphics, Game development, Game design at 3DUPB
bookMachine Learning, Machine Learning at EESTEC de<code>IT
bookBinary Exploits, Binary Exploits at Security Summer School
bookPOLITEHNICA București National University for Science and Technology
bookAndroid, Android at Google Digital Workshop for Programmers
languagesEnglish, Romanian, French
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Github Skills (10)

algorithm10
lucene10
data-structures10
javas10
algorithms10
search-engine10
information-retrieval10
data-structure10
java10
testing10

Programming languages (8)

JavaCSSCJavaScriptHTMLPerlJupyter NotebookPython

Github contributions (5)

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apache/lucene

Oct 2021 - Mar 2026

Apache Lucene open-source search software
Role in this project:
userBack-end Developer
Contributions:233 reviews, 97 PRs, 87 pushes in 4 years 6 months
Contributions summary:Stefan contributed to the Apache Lucene search software, focusing on enhancing the `RamUsageEstimator` class by adding methods to determine the shallow size of primitive arrays. They also made adjustments to the testing framework, specifically relating to how `sizeOf` functions are called and utilized. Their commits involved modifications to code related to memory usage estimation and were involved in ensuring the correctness of the testing suite for various data types.
lucenesearchnosqljavabackend
stefanvodita/lucene

Oct 2021 - Jul 2025

Apache Lucene open-source search software
Contributions:8 PRs, 239 pushes, 52 branches in 3 years 9 months
lucene
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