Krishnakanth Pulla
Software Engineer at Meta
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolKrishnakanth Pulla is a software engineer based in Seattle with a strong track record building low-latency, scalable systems across industry leaders including Meta, Google (BigQuery), and multiple teams at Amazon. Over a decade of experience spans distributed cloud infrastructure, real-time store-health systems for Amazon Go, and data-processing engines, with recent contributions to the widely used Velox C++ execution engine improving decimal handling, vector resizing, and UDF APIs. He combines deep backend systems expertise with practical product impact—shipping features that power high-throughput analytics and real-time device signal aggregation. Known for solving subtle correctness and performance issues, he brings both research experience from UC Irvine and production-first engineering instincts. Colleagues describe him as dependable in high-stakes environments and effective at turning complex distributed requirements into robust, testable implementations.
3 years of coding experience
10 years of employment as a software developer
B.E(Hons.), Computer Science Engineering, 8.5, B.E(Hons.), Computer Science Engineering, 8.5 at Birla Institute of Technology and ScienceM.S, Networked Systems, M.S, Networked Systems at University of California, Irvine
English, Hindi, Telugu
Github Skills (13)
query-engine10
query-parser10
c-language10
cprogramming-language10
querying10
data-management10
data-structure9
algorithm9
data-structures9
algorithms9
api8
testing8
apidoc8
Programming languages (1)
Github contributions (2)
facebookincubator/velox
Aug 2022 - Dec 2022
A composable and fully extensible C++ execution engine library for data management systems.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:26 reviews, 3 commits, 8 PRs in 3 months
Contributions summary:Krishnakanth primarily contributed to the Velox execution engine library, focusing on core data processing functionalities. They implemented and extended features related to decimal data types within the engine's dispatch methods. The user also addressed a critical resizing bug in the DecodedVector, enhancing the library's data handling efficiency, and contributed to the implementation of UDF registration. Furthermore, they added APIs to access simple and vector function signatures.
queryvectorizedcppdata-processingacceleration
kKPulla/velox
Aug 2022 - Mar 2025
A C++ vectorized database acceleration library aimed to optimizing query engines and data processing systems.
Contributions:12 pushes, 8 branches in 2 years 7 months
queryvectorizedcppdata-processingacceleration
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