Lars Schneidenbach
Research Software Engineer at IBM Research
United States
Summary
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SeniorLars Schneidenbach is a Research Software Engineer at IBM Research with 11 years of experience building high-performance distributed systems, scalable I/O, and key-value stores. He specializes in parallel computing, inter-process communication and synchronization, RDMA, and server load balancing, with a strong focus on performance analysis and optimization. Based in the United States, he blends research-grade rigor with practical engineering to push throughput and latency limits in production-like environments. Colleagues rely on him to diagnose subtle bottlenecks and architect low-level solutions that scale across nodes, reflecting a knack for turning deep systems knowledge into measurable performance gains.
12 years of coding experience
German, English
Github Skills (20)
buffer10
shared-nothing10
namespaces10
clustering10
key-value-store9
high-availability8
ibm-cloud7
statistics7
open-source6
ai5
aws5
multicore4
cloud-native4
scalable3
key-value3
Programming languages (4)
Github contributions (5)
IBM/data-broker
Aug 2018 - Jun 2021
The Data Broker (DBR) is a distributed, in-memory container of key-value stores enabling applications in a workflow to exchange data through one or more shared namespaces. Thanks to a small set of primitives, applications in a workflow deployed in a (possibly) shared nothing distributed cluster, can easily share and exchange data and messages with a minimum effort. In- spired by the Linda coordination and communication model, the Data Broker provides a unified shared namespace to applications, which is independent from applications’ programming and communication model.
Contributions:688 commits, 183 PRs, 107 pushes in 2 years 10 months
key-value-storenamespacesshared-nothing
Scalable-Key-Value/code
Aug 2014 - Sep 2015
Contributions:241 commits, 53 PRs, 34 pushes in 1 year 1 month
scalablekubernetesdistributed-systemskey-value-storekey-value
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