Kaarthik Sivashanmugam
Director Of Engineering at VMware Tanzu / Broadcom
Greater Seattle Area United States
Summary
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Rockstar🎓
Top SchoolKaarthik Sivashanmugam is a seasoned engineering leader with over a decade of experience building scalable ML platforms, data pipelines, and cloud services; he now leads global engineering for VMware Tanzu, supporting a product that drives $500M in annual revenue. Previously at Microsoft Azure AI, he accelerated large-scale Transformer training, modernized Bing’s ML pipelines, and helped deliver distributed deep learning and compliant ML platforms. He blends hands-on systems work—evidenced by contributions to the Mobius C#/F# binding for Apache Spark that improved JVM interoperability and debugging—with strategic product and team leadership. A frequent conference speaker and published author on production ML infrastructure, he has a track record of turning research-grade models and big-data systems into reliable, production-ready platforms. Based in the Greater Seattle area, he holds an M.S. in Computer Science and brings a pragmatic focus on performance, scalability, and developer productivity.
10 years of coding experience
18 years of employment as a software developer
University of GeorgiaBachelor’s Degree Electronics and Communication Engineering, Bachelor’s Degree Electronics and Communication Engineering at Anna University Chennai
Stackoverflow
377reputation
11kreached
14answers
0questions
Github Skills (13)
apache-spark10
error-handling10
csharp10
dotnet-core10
unit-testing9
big-data8
fsharp7
sql-server6
parquet6
xml6
mobius6
hadoop6
directed-acyclic-graph6
Programming languages (7)
Github contributions (5)
microsoft/Mobius
Oct 2015 - Oct 2018
C# and F# language binding and extensions to Apache Spark
Role in this project:
Back-end Developer
Back-end DeveloperContributions:23 releases, 321 commits, 342 PRs in 2 years 11 months
Contributions summary:Kaarthik primarily contributed to the core functionality of the Apache Spark binding for C# and F#. Their commits focused on implementing operations for KeyValuePair RDDs, fixing unit tests, capturing stack traces for JVM exceptions, and setting the application name. The changes indicate work within the core adapter, specifically involving the low-level interoperability with the Java Virtual Machine, including the capturing of stack traces from JVM exceptions, indicating a focus on improving the debugging and error-handling capabilities of the C# to Spark integration.
fsharpnear-real-timeextensionskafka-streamingbigdata
skaarthik/Mobius
Nov 2015 - Nov 2018
C# language binding and extensions to Apache Spark
Contributions:18 PRs, 430 pushes, 189 branches in 3 years 1 month
apachesparkscalaapache-sparkextensions
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