Data Science • Infrastructure • Technical Writing
データサイエンス・インフラストラクチャ・技術文書
Portfolio & Research

Lite analytics, machine learning, and data visualization tools running on disposable infrastructure

Kubernetes
Elasticsearch
JupyterHub

Platform Services
プラットフォームサービス

JupyterHub

Multi-user data science environment with GPU support, persistent storage, and collaborative notebooks

Python & R GPU Enabled
Launch JupyterHub

Elasticsearch

Advanced search and analytics engine with Kibana for real-time data visualization and insights

Real-time Scalable Analytics
Open Kibana

Rancher

Kubernetes cluster management platform for container orchestration, monitoring, and multi-cluster operations

K8s Management Multi-Cluster GitOps
Open Rancher

Persistent Storage

High-performance NFS storage with automatic backups, versioning, and 1TB+ capacity

NFS Persistent Scalable

Monitoring

Datadog observability platform deployed via Helm operator for comprehensive infrastructure and application monitoring

Datadog Helm Operator APM

ML Pipeline

End-to-end machine learning pipeline with model training, deployment, and inference capabilities

AutoML Deployment APIs

Upcoming Projects 今後のプロジェクト

Defense Research Lab

Technical Defense & Security Analysis

Expanding technical defense capabilities with dedicated research infrastructure for vulnerability analysis, threat modeling, and defensive security research.

  • Vulnerability scanning automation
  • Malware analysis sandbox
  • Network traffic analysis
  • Threat intelligence integration

Multi-Cloud Integration

Azure, AWS, GCP Hybrid Architecture

Building hybrid cloud infrastructure spanning Azure, AWS, and GCP for resilience, cost optimization, and multi-region deployment.

  • Cross-cloud Kubernetes federation
  • Multi-cloud data synchronization
  • Unified monitoring & logging
  • Cost optimization strategies

Portfolio ポートフォリオ

Showcasing technical projects, infrastructure implementations, and data science work across cloud platforms, machine learning, and security research.

Data Science

Apple Health Data Analytics

Built automated pipeline to parse, transform, and visualize Apple Health data in Elasticsearch. Created custom Kibana dashboards for workout tracking, heart rate analysis, and health metrics visualization.

Python Elasticsearch Kibana Data Visualization
View Project
Infrastructure

Kubernetes Homelab Cluster

Designed and deployed production-grade Kubernetes cluster with JupyterHub, Elasticsearch, Keycloak authentication, persistent NFS storage, and Let's Encrypt TLS automation via Traefik.

Kubernetes Docker Helm Traefik
Security

OAuth2 Security Research

Deep-dive analysis of OAuth2 Proxy, Keycloak integration, and Elasticsearch authentication patterns. Documented licensing limitations, security trade-offs, and best practices for enterprise authentication.

OAuth 2.0 Keycloak Security OIDC

More Projects Coming Soon

Additional portfolio items will be added as projects are completed and documented.

Technical Defense Blog 技術防衛ブログ

Technical analysis, security research, and defensive strategies for modern infrastructure and applications.

OAuth2 vs Native OIDC: Elasticsearch Authentication Deep Dive

Analysis of authentication patterns for Elasticsearch, comparing OAuth2 Proxy implementation with native OIDC integration. Covers licensing limitations, security implications, and practical deployment considerations.

Read Article

Building a Production Kubernetes Cluster at Home

Complete guide to deploying enterprise-grade Kubernetes infrastructure on homelab hardware, including storage, networking, and security best practices.

Coming Soon

Edge AI with NVIDIA Jetson: Real-time Computer Vision

Implementing computer vision models on Jetson Orin Nano for real-time inference, including DeepStream pipelines and Kubernetes integration.

Coming Soon

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New technical articles and defense research published regularly. Topics include security, infrastructure, and data science.

Built for Scale スケーラブルな設計

Our data science platform runs on a modern Kubernetes infrastructure, providing enterprise-grade reliability and scalability. From data ingestion to model deployment, every component is designed for performance.

Kubernetes
Docker
Python
GPU Compute
Azure
Linux
User Interface
Microservices
Kubernetes
Infrastructure