Kensei Nakada
Software Engineer at Stealth Startup
Kyoto, Japan
Summary
🤩
Rockstar🎓
Top SchoolKensei Nakada is a software engineer based in Kyoto with six years of experience building and operating cloud-native infrastructure, currently maintaining large AI workloads at a stealth startup. He is a prominent Kubernetes contributor—SIG-Scheduling Chair and Tech Lead—who has authored KEPs, reviewed and merged hundreds of PRs, and ranks consistently among the top contributors. His open-source work includes founding and maintaining kube-scheduler-wasm-extension and the widely used kube-scheduler-simulator, plus deep scheduler bug fixes and framework improvements in kubernetes/kubernetes. Prior roles span platform engineering at Mercari and infrastructure work for ML at Preferred Networks, where he developed custom schedulers and autoscaling tooling like the open-sourced Tortoise. Comfortable across backend systems, controllers, and observability pipelines, he pairs hands-on coding with community leadership and a knack for turning scheduling research into production-grade features. An unexpected thread through his career is frequent cross-language contributions (Go, Elixir, CUE) that reveal a pragmatic polyglot approach to reliability and tooling.
6 years of coding experience
6 years of employment as a software developer
Bachelor, Integrated Human Studies, Bachelor, Integrated Human Studies at 京都大学
Github Skills (31)
algorithms10
kubernetes10
elixir10
testing10
cloud-infrastructure10
scheduler10
scheduling10
infrastructure10
go10
sched10
kube-scheduler10
kubernetes-pods10
data-engineering9
cicd9
continuous-delivery9
Programming languages (13)
Github contributions (5)
kubernetes-sigs/kube-scheduler-simulator
Aug 2021 - Dec 2022
The simulator for the Kubernetes scheduler
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:4 releases, 620 reviews, 49 commits in 1 year 3 months
Contributions summary:Kensei contributed to the development of the Kubernetes scheduler simulator, including both backend and frontend aspects. Their work involved adding initial simulator functionality, improving lint settings on the frontend, and fixing issues related to configuration and scrolling. They also addressed bugs related to the deletion of scheduled pods and updated dependencies.
schedulerweb-basedk8s-sig-schedulingsimulationkubernetes-scheduler
kubernetes/kubernetes
May 2021 - Jan 2023
Production-Grade Container Scheduling and Management
Role in this project:Back-end Developer
Back-end DeveloperContributions:2097 reviews, 58 commits, 207 PRs in 1 year 8 months
Contributions summary:Kensei primarily focused on bug fixes and improvements related to the Kubernetes scheduler. Their work involved addressing error handling in scheduler performance, fixing nil pointer issues within scheduling plugins, and correcting typos. They also made code enhancements to the scheduler's framework, including adding interface checks and refining logging messages. The user's contributions centered around the core scheduling and framework components of Kubernetes.
containersschedulingdockergradeproduction-grade
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