Shaurya Chaturvedi
Apache Pinot Committer at The Apache Software Foundation
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolShaurya Chaturvedi is a seasoned software engineer with 10 years of experience building high-performance backend systems, currently a Senior Software Engineer at Uber and an Apache Pinot committer. He specializes in distributed OLAP and data validation, contributing significant testing, metrics, and performance improvements to the widely used Apache Pinot project. Comfortable across C and Python, Shaurya brings strong engineering discipline and a knack for automating error handling and optimizing high-cardinality query paths. Based in San Francisco and trained at Netaji Subhas Institute of Technology, he blends production-grade engineering with open-source stewardship and an eye for subtle reliability fixes that improve system observability.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering (Hons.), Computer Engineering, Bachelor of Engineering (Hons.), Computer Engineering at Netaji Subhas Institute of TechnologyNon Medical, Non Medical at St. Xavier School - Delhi
Stackoverflow
10,205reputation
866kreached
159answers
4questions
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Github Skills (18)
apache-pinot10
data-validation10
testing10
gcc10
java10
javas10
multidimensional-arrays9
forloop9
performance-optimization9
vector9
sql8
syntax6
merge6
sed6
linux6
Programming languages (7)
Github contributions (5)
apache/pinot
Sep 2024 - Apr 2025
Apache Pinot - A realtime distributed OLAP datastore
Role in this project:
Backend Developer & QA Engineer
Backend Developer & QA EngineerContributions:16 reviews, 8 PRs, 24 comments in 6 months
Contributions summary:Shaurya contributed significantly to the Apache Pinot codebase, focusing on testing and expanding the metrics and validation components. They implemented unit tests for metrics, improving code quality and maintainability. The user also worked on improving data validation, including fixing bugs, automating error segment resets, and integrating these features within the system. Additionally, they were involved in performance optimization through result holder configuration for high cardinality group by operations and resolving issues with aliased columns in gapfill queries.
realtimedata-streamolapapachedatastore
shauryachats/shauryachats.github.io
May 2017 - Feb 2024
Contributions:27 pushes, 1 branch in 6 years 9 months
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