Kai Ohlhus is a Senior Data Engineer at Rakuten Group with 12 years of experience building cloud-native infrastructure for large-scale machine learning, specializing in Kubernetes-based distributed training and model deployment. With a doctoral background in mathematics and computer science, he bridges rigorous research—verified numerical computations and reproducible HPC workflows—with production engineering to turn ML experiments into market-ready systems. He is fluent in C/C++, Python and Java, leverages container technologies end-to-end, and has hands-on experience operating NVIDIA GPU clusters. An active contributor to scientific packaging via Spack, he ensures optimized builds of numerical libraries (OpenBLAS, SuiteSparse, Octave) for high-performance workloads. Based in Tokyo, he combines academic depth with practical tooling and automation skills that reduce friction between experimentation and production.
12 years of coding experience
8 years of employment as a software developer
Doctor's Degree, Mathematics and Computer Science, Doctor's Degree, Mathematics and Computer Science at Hamburg University of Technology
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Role in this project:
Automation Engineer / Build & Release Engineer
Contributions:8 reviews, 26 commits, 28 PRs in 2 years 9 months
Contributions summary:Kai primarily contributes to the Spack package manager by adding and updating package definitions. They add new versions of scientific software packages like Octave, SuiteSparse, and OpenBLAS, ensuring they are available for users. Furthermore, they add specific configurations and options for these packages, including enabling ILP64 support and adding new OpenBLAS versions. These changes are crucial for providing up-to-date and optimized scientific computing software within the Spack ecosystem.
Contributions:2 releases, 51 commits, 35 pushes in 3 months
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Kai Ohlhus - Senior Data Engineer At Rakuten Group, Inc.