Patrick Stuedi
Santa Barbara, California, United States
Summary
🤩
Rockstar🎓
Top SchoolPatrick Stuedi is a research staff member at IBM Research Zurich with a PhD from ETH Zurich and over a decade of experience in distributed systems, networking, and operating systems. He leads development of Apache Crail, a high-performance distributed data store optimized for RDMA and byte-addressable storage to accelerate data processing and machine learning frameworks. His prior work includes DiSNI and DaRPC, open-source projects that brought zero-copy RDMA networking and low-latency RPC to the JVM and distributed systems. Based in Menlo Park, he combines deep academic training with hands-on systems engineering to push network- and storage-level performance limits, often targeting 100Gb/s hardware and NVMe/DRAM tiers. An understated strength is his ability to translate cutting-edge research into practical, production-ready open-source tooling used to speed I/O-bound workloads.
10 years of coding experience
MsC, Computer Science, MsC, Computer Science at ETH Zürich
Github Skills (57)
sql-query10
kafka-connect10
spark10
rdma10
storage10
big-data10
kafka10
hadoop10
apache10
data-management10
networking10
java10
scala10
stream10
hive10
Programming languages (4)
Github contributions (5)
zrlio/crail-spark-io
Sep 2016 - Feb 2018
Fast I/O plugins for Spark
Contributions:10 commits, 4 PRs, 57 pushes in 1 year 5 months
accumulosparkscalaapache-sparkrdma
zrlio/crail-project
Dec 2016 - Nov 2017
Contributions:395 commits, 716 pushes, 3 branches in 11 months
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