Arun Murthy

Founder at Isotopes AI

Palo Alto, California, United States
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Summary

👤
Senior
🎓
Top School
Arun Murthy is a seasoned software leader and founder with 18 years of building and scaling distributed data and AI platforms. He currently leads Isotopes AI as founder, applying his deep experience in product and engineering to bring AI-powered solutions to market from Palo Alto. Previously, he served as Chief Technology Officer at Scale AI (2023–2024) and Chief Product Officer at Cloudera (2019–2021), where he aligned engineering, product, and strategy at scale. A longtime Apache Hadoop contributor and former VP of Hadoop at the Apache Software Foundation, Arun also co-founded Hortonworks and led Yahoo!'s Hadoop Map-Reduce team, shaping core data-processing infrastructure used by thousands of nodes. His open-source work includes fixing shuffle and output-committer issues and strengthening tests and logging for reliability in the Hadoop ecosystem. With roots in Yahoo! and Hortonworks, he brings a rare blend of hands-on engineering, product leadership, and strategic partnerships to build resilient, scalable platforms.
code18 years of coding experience
job20 years of employment as a software developer
bookVisvesvaraya Technological University
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Github Skills (9)

javas10
debugging10
hadoop-mapreduce10
debug10
mapreduce10
hadoop10
resource-management10
java10
testing10

Programming languages (4)

JavaShellJavaScriptGo

Github contributions (5)

github-logo-circle
apache/hadoop

Aug 2007 - Feb 2015

Apache Hadoop
Role in this project:
userBack-end Developer
Contributions:675 commits in 7 years 6 months
Contributions summary:Arun's contributions focus on fixing and refactoring the Hadoop codebase, specifically addressing issues related to core functionality, and resource management. They fixed bugs in the shuffle framework, corrected output committer functionality for deep hierarchies, and addressed problems that resulted in container launch failures, or caused problems during AM recovery. They also made improvements to unit tests and logging messages for clarity and to ensure that tests would not fail.
apachebig-datasparkhadoopjava
hortonworks/gohadoop

Sep 2013 - Aug 2014

Contributions:42 commits in 11 months
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