Aditi Pandit

Indore, Madhya Pradesh, India

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Summary

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Top School

Aditi Pandit is a back-end focused software engineer with four years of hands-on experience and a final-year Computer Software Engineering student based in Indore, India. She has contributed to prominent open-source projects like Presto and Velox, adding native execution support for window functions and implementing/aligning bitwise functions with Presto’s semantics—work that touches core query execution and data processing engines. Comfortable working on low-level C++ and query-plan internals, she has written unit tests, documentation, and refactored core headers to ensure correctness across systems. Known for tackling subtle compatibility issues (for example, return-type alignment with Presto’s bigint), she brings practical experience shipping changes in large, distributed SQL engines. Ambitious and detail-oriented, she combines academic foundations with real-world contributions to complex, performance-sensitive codebases.

4 years of coding experience

St.Norbert School

Bachelor of Technology - BTech, Computer Software Engineering, sophomore, Bachelor of Technology - BTech, Computer Software Engineering, sophomore at Medi-Caps University

Github Skills (23)

c-language10

back-end-development10

data-set10

testing10

query-optimization10

java10

data-model10

javas10

window-functions10

sql10

user-data10

data-processing10

cprogramming-language10

presto10

data-structure9

Programming languages (4)

JavaC++ScalaHTML

Github contributions (5)

facebookincubator/velox

Aug 2021 - Dec 2022

A composable and fully extensible C++ execution engine library for data management systems.

Role in this project:

Back-end Developer

Contributions:1936 reviews, 50 commits, 196 PRs in 1 year 3 months

Contributions summary:Aditi contributed to the implementation of bitwise functions, specifically `bitwise_xor`, within the Velox execution engine. Their contributions included adding the function, registering it, and creating unit tests and documentation. They also addressed inconsistencies with Presto's bitwise function return types, refactoring the code to align with Presto's bigint return values. The changes involved modifications to core header files, common function files, and test files, showcasing involvement in the core data processing functionality of the engine.

queryvectorizedcppdata-processingacceleration

prestodb/presto

Oct 2022 - Nov 2022

The official home of the Presto distributed SQL query engine for big data

Role in this project:

Back-end Developer

Contributions:836 reviews, 4 commits, 166 PRs in 29 days

Contributions summary:Aditi primarily contributed to the native execution engine of the Presto distributed SQL query engine. Their work focused on adding support for window functions, date filters, and system table samples, demonstrating an understanding of query plan conversion. The commits included modifications to the query plan converter, expression handling, and testing, which are critical components for optimizing query execution. Additionally, the user made changes to the query execution engine, including fixing grouping sets and CTE support.

distributed-sqlquerybigdataquery-enginesql

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