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moruku36/README.md

Kentaro Mori

English | 日本語

I build and document hands-on experiments across cloud, AI, and security.
My work focuses on validating real-world architectures, AI-assisted workflows, and security technologies through practical implementation and testing.

Cloud validation — start here

AI and security projects

These repositories include experiments and learning projects as well as more developed work. Check each README for its current status and limits before reproducing infrastructure or running an AI workflow.

More writing: Zenn · LinkedIn.

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  1. cloud-validation-level2-multicloud cloud-validation-level2-multicloud Public

    Consolidated Level 2 validation of AI-driven Terraform lifecycles across AWS, Azure, and GCP (CI/CD, monitoring, chaos testing, clean destroy)

    HCL

  2. cloud-validation-level3-architect cloud-validation-level3-architect Public

    Cloud Verification Level 3: Requirements, Architectural Decisions, and Verification Records

    Python

  3. ai-engineering-factory ai-engineering-factory Public

    Lightweight governance layer for AI coding agents: isolated execution, independent verification, and human-approved PRs.

    Python 1

  4. local-ai-sidekick local-ai-sidekick Public

    Local AI coding sidekick using Ollama and a lightweight Lead/Worker workflow

    Python

  5. pqc-crypto-inventory-lab pqc-crypto-inventory-lab Public

    Evidence-based cryptographic inventory and PQC migration learning lab

    Python

  6. qwen-multimodal-colab qwen-multimodal-colab Public

    Personal multimodal Qwen web chat on Google Colab GPUs: Qwen3.8-27B (llama.cpp) for chat, vision and reasoning + Qwen-Image-2.1 for image generation/editing, with real-time web search, a Gradio UI,…

    Python