Lyublena Antova
Staff Software Engineer at MongoDB
Sofia, Sofia-City, Bulgaria
Summary
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Rockstar🎓
Top SchoolLyublena Antova is a Staff Software Engineer based in Sofia with a deep focus on query optimization and distributed SQL engines, currently at MongoDB after leading Presto query optimizer efforts at Meta. She has over a decade of experience building modern query optimizers as an early engineer on Orca and later at Datometry, where her work produced patents and SIGMOD publications. Her contributions to the open-source Presto project include performance and observability improvements—optimizing joins over map columns and adding debugging session properties—that reflect a strong pragmatic approach to production systems. Lyublena combines research-grade rigor (PhD-level training and VLDB-published work on history-based optimization) with hands-on engineering and team-building, having helped hire and mentor engineers early in Datometry’s growth. Colleagues would describe her as someone who bridges academic research and product-grade implementation, translating novel optimization ideas into measurable system improvements.
4 years of coding experience
15 years of employment as a software developer
MSc Computer Science, MSc Computer Science at Universität des SaarlandesExchange student Computer Science, Exchange student Computer Science at Catholic University of Eichstätt-IngolstadtPhD Computer Science, PhD Computer Science at Cornell UniversityBSc Computer Science, BSc Computer Science at Sofia University St. Kliment OhridskiLanguage School "Joan Ekzarh"
English, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
javas10
big-data10
sql-query10
query-optimization10
presto10
sql10
java10
data-model10
user-data10
data-set10
hadoop9
Programming languages (2)
Github contributions (5)
prestodb/presto
Apr 2022 - Apr 2022
The official home of the Presto distributed SQL query engine for big data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:332 reviews, 1 commit, 54 PRs in 1 day
Contributions summary:Lyublena contributed to the Presto query engine by implementing and optimizing various aspects of the query planning and execution. Their work included refactoring and enhancing existing features, such as the PullConstantsAboveGroupBy rule, and optimizing joins over tables with map columns. They also introduced functionalities like tracking of applicable optimizations and session properties for debugging. The user's efforts focused on improving the performance, maintainability, and observability of the Presto engine.
distributed-sqlquerybigdataquery-enginesql
mlyublena/presto
Mar 2022 - Mar 2024
The official home of the Presto distributed SQL query engine for big data
Contributions:349 pushes, 29 branches in 2 years
jdbchbasebigdatabig-datatrino
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