Shinsuke Sugaya
Chief Technology Officer at CodeLibs, Inc.
Yokohama, Japan
Summary
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RockstarShinsuke Sugaya is a veteran technology leader and CTO based in Yokohama with 20 years of experience building search, AI and end-to-end data science solutions and leading high-performing engineering teams. He co-founded and runs CodeLibs, developing search and AI products, and currently shapes technology strategy at comici while driving business development at N2SM. A long-time Apache committer, he contributed backend and DevOps improvements to the widely used PredictionIO machine learning server—adding Elasticsearch 5 support, event serialization fixes, and deployment packaging for S3-backed models. His career blends hands-on systems engineering from Sun Microsystems to BizReach with product-focused AI feature deployment in production. Colleagues know him for bridging open-source technical craftsmanship with pragmatic operational practices that accelerate time-to-value.
20 years of coding experience
14 years of employment as a software developer
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
amazon-elasticsearch10
elasticsearch-api10
data-storage10
elasticsearch10
elasticsearchquery10
aws-elasticsearch10
scala10
sbt9
rest-api9
big-data9
aws-s38
Programming languages (18)
Github contributions (5)
apache/predictionio
Feb 2017 - Apr 2019
PredictionIO, a machine learning server for developers and ML engineers.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:26 commits, 29 PRs, 2 pushes in 2 years 1 month
Contributions summary:Shinsuke contributed to the Apache PredictionIO project by implementing and refactoring back-end storage components, specifically for Elasticsearch. They added support for Elasticsearch 5 and made improvements to event serialization and ID generation. Furthermore, the user worked on build and packaging tasks, including the integration of SBT Native Packager, adding parameters for shards/replicas, and enabling S3 model data repositories, demonstrating involvement in deployment and infrastructure aspects.
pythondata-sciencemachine-learningmlopsbig-data
codelibs/elasticsearch-lang-handlebars
Oct 2014 - Sep 2016
Contributions:46 commits, 27 pushes, 3 branches in 1 year 11 months
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