Ernest Yu

Building deployable AI agent systems and platforms.

PhD in Economics · MSc in AI

Luxembourg / Zurich

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🧠 What I Do

I design and build AI agent runtime and platform systems focused on:

• Deployable AI agents (OpenClaw-based)
• Kubernetes (K3s) orchestration
• Tooling & skill ecosystems
• Self-hosted and scalable AI infrastructure

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🏗️ Current Focus

• 🔧 Patched OpenClaw Runtime

  • Extended capabilities (browser, scraping, CLI tools, data processing)
  • Production-ready container environment

• ⚙️ AI Agent Deployment (K3s / Kubernetes)

  • Multi-instance orchestration
  • Isolated runtime environments
  • Scalable deployment patterns

• 🧩 Skills & Tool Ecosystem

  • Web scraping & content extraction
  • Data processing pipelines
  • System-level tool integrations

• 🧪 Towards an AI Agent Platform

  • One-click agent provisioning
  • Runtime + tools + orchestration
  • Platform layer (API-driven deployment)

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🧱 System Architecture (Concept)

User / API
↓
Platform Layer (in progress)
↓
Kubernetes (K3s)
↓
OpenClaw Runtime (patched)
↓
Skills / Tools / Extensions

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📦 Featured Projects

🔹 OpenClaw Runtime (Patched)

Enhanced runtime with extended capabilities for real-world usage
→ container environment + system tools + execution layer

🔹 OpenClaw Skills

Reusable tool modules for AI agents
→ scraping · parsing · data workflows · system utilities

🔹 OpenClaw on Kubernetes

K3s-based multi-instance deployment
→ isolated agents · reproducible environments · scaling

🔹 (Upcoming) OpenClaw Platform

API-driven agent provisioning system
→ create / manage / scale agents programmatically

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🎯 Direction

I am working towards:

→ A deployable AI agent platform
→ Supporting multi-instance, multi-user environments
→ Bridging AI systems with real-world infrastructure

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🛠️ Tech Stack

• Kubernetes (K3s)
• Docker / Container systems
• Python
• Linux systems & CLI tooling
• AI agent frameworks (OpenClaw ecosystem)

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📫 Contact

• GitHub: https://github.com/ernestyu

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⚡ Philosophy

AI is not just models —
it is systems, runtime, and deployment.