Kazumichi Oka is a data science researcher and practitioner with a decade of experience blending text data mining and infrastructure engineering. Based at Doshisha University's Data Science Lab in Tokyo, he has hands-on experience applying NLP and analytics to real-world problems while interning at a human resource development firm in Singapore. His technical background includes contributing to the rancher/terraform-provider-rke project, where he worked on Terraform resources for Kubernetes deployments and cloud provider integration—demonstrating a rare mix of data science insight and DevOps competency. Currently working as an assistant at SBI Holdings, he is actively seeking full-time opportunities in digital marketing in Australia, aiming to combine data-driven storytelling with scalable infrastructure. Colleagues value his interdisciplinary perspective that bridges cultural information science and practical deployment concerns. He brings curiosity, cross-border experience, and a proven track record of shipping both analytical and infrastructure improvements.
10 years of coding experience
Culture and information science, Data science, Culture and information science, Data science at 同志社大学
Terraform provider plugin for deploy kubernetes cluster by RKE(Rancher Kubernetes Engine)
Role in this project:
Back-end & DevOps Engineer
Contributions:32 releases, 167 commits, 109 PRs in 1 year 6 months
Contributions summary:Kazumichi contributed to the implementation of the Terraform provider plugin for the RKE (Rancher Kubernetes Engine) project. Their commits primarily involve the creation and modification of resources related to Kubernetes cluster deployment. The changes included adding and updating attributes for various Kubernetes services, such as etcd, kube-api, and kubelet, indicating a focus on infrastructure configuration and management. They also introduced features like private registry configuration and cloud provider integration.
Contributions:63 PRs, 53 pushes, 19 branches in 2 years 8 months
golangapigo-api
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