Sudarshan Vasudevan
Principal Staff Software Engineer at LinkedIn
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolSudarshan Vasudevan is a Principal Staff Software Engineer with 13 years of experience building scalable data infrastructure and governance platforms, currently leading architecture efforts at LinkedIn in Mountain View. He combines deep research roots—a PhD focused on self-organization of large wireless networks and multiple years as an academic researcher—with hands-on production experience designing high-throughput data pipelines, ingestion utilities, and solutions for HDFS small file problems. His background spans security-conscious big data work at Palo Alto Networks (including early contributions to AutoFocus) and productionizing analytics at scale across Elasticsearch, HBase, Hive, and Hadoop Streaming. Known for bridging rigorous algorithmic thinking with pragmatic engineering, he often tackles data-security and privacy tradeoffs while mentoring teams to deliver robust, auditable systems.
13 years of coding experience
18 years of employment as a software developer
B.E Computer Science, B.E Computer Science at National Institute of Technology, TiruchirappalliPhD Computer Science, PhD Computer Science at University of Massachusetts Amherst
Github Skills (13)
lift10
linkedin10
fairness-ml10
measurement9
scale8
spark8
machine-learning8
scala8
large-scale8
cli1
azkaban1
command-line-interface1
command-line1
Programming languages (1)
Github contributions (5)
linkedin/LiFT
Oct 2019 - Mar 2021
The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.
Contributions:5 releases, 6 reviews, 11 commits in 1 year 5 months
fairness-mlspark-scalamachine-learningscalelarge-scale-machine-learning
sriramvasudevan/iitm
Aug 2012 - Apr 2015
Contributions:110 commits, 4 pushes in 2 years 8 months
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