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.
- Level 2: Multi-cloud Security Validation — Terraform-based AWS, Azure, and Google Cloud infrastructure validation, including CI/CD, monitoring, failure testing, and cleanup.
- Level 3: Cloud Security & Architecture Validation — architecture design decisions, cost and risk assessments, and phased validation records.
- AI Governance Control — a MANUAL_ONLY experiment for reviewing AI coding-agent outputs, with bounded artifact receipts and JUnit report checks. Verification evidence.
- Personal Security Auditor — a local CLI for defensive workstation security review: selected OS settings, credential-file permissions, and Chrome extension metadata, without collecting secret values. Checks have documented limits; Google Password Checkup is not implemented.
- Qwen Multimodal — a Gradio-based Qwen app for chat, image understanding and generation, speech input, and web search. Colab notebooks are available; RunPod integration is under validation.
- Multi-AI Workflow Architecture — a continuously updated guide to coordinating ChatGPT/Codex, Claude Code, Gemini/Antigravity, and Qwen across research, implementation, review, and AI-team workflows.
I also publish and continuously update independent research, technical surveys, and analysis reports alongside my hands-on projects.
- 2026 Company Analysis — company analysis and research notes.
- Security Landscape 2026 — security technology and industry landscape research.
- Independent CS Research 2026 — independent computer science research and survey notes.
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 · DEV Community · LinkedIn.