Gil Vernik
Cloud And Big Data Senior Researcher And Architect. Technical Lead.
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolGil Vernik is a Cloud and Big Data senior researcher and hands-on architect with 12+ years building scalable ML, HPC and analytics platforms at IBM and in academia. He leads cross-team research and production code for hybrid and public cloud offerings, with deep expertise in Kubernetes, serverless runtimes (OpenWhisk, Knative, Ray), object/NoSQL storage, and the Hadoop ecosystem including Spark, Parquet and Alluxio. An active open-source maintainer (notably Lithops and Stocator) and frequent conference speaker, he bridges theory and practice by shipping Python/Java/Scala code while engaging directly with customers. His background includes a PhD in Mathematics and postdoc research in algebraic Lie theory, which informs a rigorous, analytical approach to systems design. Based in Sunnyvale, he combines academic depth with pragmatic engineering—often focusing on data federation, high-performance data paths and novel agentic AI systems.
12 years of coding experience
11 years of employment as a software developer
B.A., Mathematics and Computer Science, B.A., Mathematics and Computer Science at University of Haifa
English, German, Hebrew
Github Skills (166)
data-stream10
parallel10
cloud-computing10
python10
alluxio10
hadoop10
hyperparameter-optimization10
deep-learning10
automl10
nosql-database10
serverless10
ray10
orchestration10
cloud-native10
optimization10
Programming languages (12)
Github contributions (5)
CODAIT/stocator
Feb 2016 - Dec 2022
Stocator is high performing connector to object storage for Apache Spark, achieving performance by leveraging object storage semantics.
Contributions:2 releases, 698 commits, 152 PRs in 6 years 11 months
leveragingconnectorapachebig-dataspark
gilv/tachyon
Apr 2015 - Jan 2017
Contributions:111 pushes, 19 branches in 1 year 9 months
memoryspeeddistributed-storagememory-speedstorage
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