Abhishek Radhakrishnan
Lead Member Of Technical Staff at The Apache Software Foundation
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAbhishek Radhakrishnan is a data-platform focused software engineer and technical leader with 9 years of experience building cloud-native analytics and SaaS systems. Currently a Lead Member of Technical Staff at Salesforce and a PMC member and committer on Apache Druid, he has deep hands-on expertise delivering production-grade capabilities for high-performance analytics (notably contributing vectorized aggregators and null-preserving fixes to the flagship Apache Druid project). He previously led engineering work at Imply and Cisco on Polaris and Crosswork Cloud, driving observability, traffic analysis, and trust-insight features using Kafka, Go, Python, FoundationDB, Kubernetes and Prometheus. A USC Viterbi MS graduate with a background in Internet measurement and network research, he combines research rigor with pragmatic engineering to ship scalable systems. Colleagues rely on him to bridge open-source maintainership and enterprise SaaS engineering to turn large streaming datasets into actionable insights.
9 years of coding experience
10 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at University of Southern CaliforniaDAV Higher Secondary School
Github Skills (9)
javas10
aggregations10
apache-druid10
java10
testing10
data-structure9
data-structures9
database-design8
performance-optimization8
Programming languages (6)
Github contributions (5)
apache/druid
Sep 2019 - Jan 2023
Apache Druid: a high performance real-time analytics database.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:660 reviews, 11 commits, 270 PRs in 3 years 4 months
Contributions summary:Abhishek's commits primarily focused on enhancing the functionality of the Apache Druid database, specifically involving the preservation of null values for numeric dimensions post-compaction. They implemented null checks within the dimension selector, added unit tests for verifying the behavior, and addressed review comments to refine the code. Additionally, the user contributed to the vectorization support for longMin, longMin, doubleMax, floatMin, and floatMax aggregators by adding test cases and functionality.
real-timebig-datadruiddatabasehadoop
abhishekrb19/incubator-druid
Aug 2019 - Feb 2025
Apache Druid (Incubating) - Column oriented distributed data store ideal for powering interactive applications
Contributions:28 PRs, 713 pushes, 297 branches in 5 years 6 months
incubatingidealdata-storeapachebig-data
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