Keichi Takahashi
Associate Professor
Osaka, Japan
Summary
🤩
Rockstar🎓
Top SchoolKeichi Takahashi is an associate professor and HPC middleware researcher with 14 years of software engineering experience, currently based at Osaka University after roles at Tohoku University, NAIST, and Oak Ridge National Laboratory. He specializes in designing software to move data efficiently within and between nodes and to/from persistent storage on large-scale high-performance systems. Keichi combines academic rigor (Ph.D. from Osaka University) with hands-on performance engineering—contributing to production open-source projects like CTranslate2 by optimizing CPU kernels and adding ARM aarch64/INT8 support. His work spans low-level code generation and parser optimization, reflected in his high-performance binary-parser refactors and backend-focused commits. He often bridges research and production, shipping measurable performance gains across architectures. Based in Osaka, he brings a rare mix of middleware research depth and practical cross-platform optimization experience.
14 years of coding experience
12 years of employment as a software developer
Ph.D., Information Science, Ph.D., Information Science at Osaka University
English, Japanese, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (24)
javascript10
c-language10
parser10
inference10
data-parsing10
openmp10
gemfire10
code-generation10
parsing10
parse10
arm10
binary-data10
cpp10
cprogramming-language10
testing9
Programming languages (18)
Github contributions (5)
keichi/binary-parser
Oct 2013 - Jan 2023
A blazing-fast declarative parser builder for binary data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 releases, 5 reviews, 403 commits in 9 years 3 months
Contributions summary:Keichi primarily focused on refactoring and enhancing the binary parser's core functionality. Their work involved replacing the context object name, adding and improving the code generators for various data types, and fixing lazy evaluation issues. They also introduced a context class and its methods to simplify code generation and improved variable accessors. The commits demonstrate a strong focus on optimizing and extending the parser's capabilities through code generation.
binary-databufferblazingbinary-parserjavascript
OpenNMT/CTranslate2
Dec 2020 - Sep 2021
Fast inference engine for Transformer models
Role in this project:Back-end & Performance Engineer
Back-end & Performance EngineerContributions:9 reviews, 7 commits, 6 PRs in 8 months
Contributions summary:Keichi primarily contributed to optimizing the CTranslate2 inference engine. They fixed a bug in a CPU kernel, improving its performance. Further, they implemented support for the ARM 64-bit architecture, including NEON intrinsics and integration with OpenBLAS for optimized GEMM operations. The user also integrated the INT8 GEMM backend using Ruy for aarch64, enhancing the engine's capabilities on various platforms. They are also involved in the wheel building process.
inference-engineavxbertintrinsicsopenmp
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