Ankita Victor
Apache Gluten Committer at The Apache Software Foundation
India
Summary
🤩
Rockstar🎓
Top SchoolAnkita Victor is a cloud-native systems engineer with nine years of experience building high-performance distributed storage, compiler, native query engine, and analytical database components. She has a strong track record at Microsoft and contributes to prominent open-source projects—most notably Apache Gluten and Facebook Incubator Velox—where she improved core C++ execution engine features, file I/O robustness, and Spark SQL functions. Focused on making systems run fast and at scale, she combines production engineering at a hyperscale company with active upstream contributions that bridge research-grade engines and real-world deployments. Based in India and trained at IIIT Bangalore, she brings a pragmatic, performance-first mindset and a knack for tightening low-level I/O and query semantics that often goes unnoticed but materially boosts system throughput.
10 years of coding experience
6 years of employment as a software developer
Integrated Masters, Computer Science, Integrated Masters, Computer Science at International Institute of Information Technology Bangalore
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (18)
spark-sql10
c-language10
data-management10
query-parser10
fileio10
file-handling10
file-processing10
query-engine10
file-access10
cprogramming-language10
querying10
data-structure9
algorithm9
algorithms9
data-structures9
Programming languages (5)
Github contributions (5)
facebookincubator/velox
Sep 2023 - Mar 2026
A composable and fully extensible C++ execution engine library for data management systems.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:119 reviews, 40 PRs, 214 comments in 2 years 5 months
Contributions summary:Ankita contributed to the Velox C++ execution engine library by implementing and modifying core functionalities. They improved file I/O operations with preadv calls, ensuring adherence to system limits. The user also added new Spark SQL functions such as `date_from_unix_date`, `weekday`, `unix_date`, `unix_seconds`, `bit_length` and implemented minute and second functions as well. Furthermore, they addressed build system issues and improved code formatting and tests.
cppdata-managementquery-processing
acvictor/Photon-map
Aug 2017 - Jan 2019
Contributions:10 commits, 4 pushes, 1 branch in 1 year 5 months
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