Kosuke Morimoto
エンジニアリングマネージャー at LINEヤフー株式会社
Greater Tokyo Area Japan
Summary
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Rockstar🎓
Top SchoolKosuke Morimoto is an engineering manager with 13 years’ experience leading development of distributed approximate vector search engines at Yahoo and LINEヤフー in the Greater Tokyo Area. He combines hands-on backend and DevOps expertise with team leadership, shipping scalable components and end-to-end benchmark suites for Vald, a notable open-source distributed vector search project. At Yahoo he progressed from senior engineer to team lead, and now oversees engineering for Vald-related initiatives, focusing on performance, reliability, and benchmarking. He holds a master’s in information engineering from Waseda University and is pragmatic about opportunities—preferring technical, salaried roles and not responding to commercial solicitations. An unspoken strength is his penchant for building robust benchmark infrastructure that exposes real-world performance trade-offs early in development.
13 years of coding experience
修士, 情報工学, 修士, 情報工学 at 早稲田大学 / Waseda University
Github Skills (11)
golang10
go10
grpc10
testing10
devops9
approximate-nearest-neighbor-search8
distributed-systems8
kubernetes6
microservices6
microservices-application6
kubernetes-pods6
Programming languages (8)
Github contributions (5)
vdaas/vald
Oct 2019 - Jun 2022
Vald. A Highly Scalable Distributed Vector Search Engine
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:490 reviews, 35 commits, 179 PRs in 2 years 8 months
Contributions summary:Kosuke's primary contribution involved developing and implementing end-to-end (e2e) benchmark tests for the Vald project, encompassing agent NGT and gRPC stream tests, along with the creation of a basic benchmark using Go code. The user integrated dependency updates and added sequential and stream-based operations. Furthermore, the user added the gateway benchmark tests. They also incorporated several fixes related to benchmark tests and made changes to the payload structures.
high-dimensional-dataapproximate-nearest-neighbor-searchsimilarity-searchimage-search-enginevector
kou-m/emacs.d
Mar 2013 - May 2018
Contributions:19 commits, 3 pushes in 5 years 2 months
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