Naresh Kumar
Software Engineer at Snowflake
California, United States
Summary
👤
Senior🎓
Top SchoolNaresh Kumar is a seasoned software engineer with 13–14 years of experience building scalable data and search infrastructure across Snowflake, Facebook, ThoughtSpot, Directi, and Google. He currently contributes to Snowpark at Snowflake and has deep expertise in data execution engines and search/ranking systems from his time on Facebook’s Data Infra and Search teams. Naresh has a strong backend systems focus—evidenced by notable open-source contributions to Facebook’s Velox project where he improved array sorting, Hive partition key support, and NaN-safe comparisons to make the engine more robust. He combines production-grade engineering with a history of platform-level work (apps infra, graph store, indexing) that enables large-scale querying and analytics. Based in California and educated at IIT Roorkee, he blends rigorous CS fundamentals with practical, production impact. Colleagues would describe him as a pragmatic problem-solver who prefers improving core engine correctness and performance rather than flashy surface features.
13 years of coding experience
11 years of employment as a software developer
Indian Institute of Technology Roorkee
English, Hindi
Github Skills (10)
data-structures10
query-engine10
algorithms10
query-parser10
c-language10
cprogramming-language10
querying10
data-management10
data-structure10
spark-sql9
Programming languages (4)
Github contributions (5)
facebookincubator/velox
Sep 2021 - Jul 2022
A composable and fully extensible C++ execution engine library for data management systems.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 8 PRs in 9 months
Contributions summary:Naresh primarily contributed to the development of the Velox execution engine, focusing on enhancing its functionality. Their work includes implementing a UDF (User Defined Function) for array sorting within the SparkSQL context and adding support for non-string Hive partition keys. The user also addressed NaN handling in comparison methods for the RowContainer and honored the ascending flag when comparing complex vector arrays, enhancing the engine's robustness and precision. Furthermore, the user enabled and expanded the functionality of array_sort and sort_array functions.
queryvectorizedcppdata-processingacceleration
nemausus/dotfiles
Dec 2016 - Sep 2022
Contributions:14 commits, 40 pushes, 1 branch in 5 years 10 months
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