I'm a Microsoft AI MVP, Microsoft Certified Trainer, author, and technical speaker based in Taiwan. I turn emerging AI technologies into practical architectures, working solutions, and knowledge that teams can apply.
我是陳葵懋（Ian Chen），專注於 .NET、Azure、生成式 AI、RAG、AI Agent 與軟體架構。除了企業應用實踐，我也透過技術著作、研討會、工作坊與開源專案，將複雜技術整理成可以理解、實作並真正落地的方法。
I care less about what AI can demo today—and more about how it becomes a system people can trust and use tomorrow.
我關心的不只是 AI 今天能展示什麼，而是它如何成為明天能被信任、長期使用的系統。
- From demo to durable systems / 從展示走向長期使用 — 技術的價值不只在「做得到」，更在能否進入真實流程、被治理並持續創造價值。
- Make complexity teachable / 讓複雜技術變得可學可做 — 從文章、書籍到工作坊，我重視清楚的學習路徑與可以帶走的實作成果。
- Build with evidence and boundaries / 用證據與邊界建立信任 — 區分技術能力、使用限制與治理責任，讓創新不必犧牲可靠性。
I speak about practical AI architecture and the engineering decisions behind production-ready systems. My sessions are designed for developers, architects, technical leaders, and teams moving from AI exploration to real adoption.
我的分享重視「聽得懂、帶得走、做得到」，從技術趨勢、架構決策到可操作的實作經驗，協助開發者與企業團隊把 AI 從概念帶進真實場景。
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AI Agents, Multi-Agent & MCP Agent 系統設計、多代理協作、MCP 整合，以及傳統應用走向 Agentic Architecture 的關鍵取捨。 |
Enterprise GenAI, RAG & Azure 企業知識系統、RAG 架構、Azure AI、地端模型，以及從 PoC 走向正式環境的實踐方法。 |
AI Coding & Engineering Governance AI Coding 工作流、Harness Engineering、程式品質、安全審查與可信任的軟體交付。 |
Available formats / 邀約形式
Keynotes · Conference talks · Hands-on workshops · Enterprise training · Panels · Community events
主題演講 · 技術研討會 · 實作工作坊 · 企業培訓 · 座談交流 · 社群活動
| Year | Event | Session |
|---|---|---|
| 2026 · Upcoming | Hello World Dev Conference | 從寫得快到交付可信的 AI Coding 工程戰場 · AI Coding 治理實戰：從開發到交付的 Harness 工程 |
| 2025 | Hello World Dev Conference | 全面導入或漸進？探討 AI Agent 到 MCP 重塑現代軟體設計 · .NET AI Agent × MCP Workshop |
| 2025 | Microsoft Reactor — MVP 聚技站 | 駕馭 ChatGPT 4：Azure OpenAI 與 Cognitive Service for Language 開發實踐 |
| 2024 | Hello World Dev Conference | 基於 LLM 模型的 AI Agent：從零到進階實踐 |
| 2023 | DevDays Asia | Mastering Generative AI Enterprise Adoption — Prompt Flow and Semantic Kernel |
| 2023 | Modern Web Conference | 運用 Semantic Kernel SDK 駕馭生成式 AI 應用的提示工程 |
Also invited to share at Microsoft TechDays, MOPCON, iThome AI & Cloud, technical communities, government organizations, universities, and enterprise training programs.
C# · .NET · Python · Azure · Semantic Kernel · LangChain · OpenAI · MCP · RAG · Docker · Kubernetes
- AI architecture: AI agents, multi-agent systems, MCP, enterprise integration
- Generative AI: RAG, knowledge systems, multimodal applications, local and cloud models
- Engineering: AI coding governance, software architecture, containers, cloud-native delivery
| Project | What it does | Stack |
|---|---|---|
| LLM Usage Dashboard | A privacy-first desktop dashboard for viewing Codex and Claude Code usage, limits, tokens, and estimated costs. | JavaScript · Electron |
| Python with AI | Hands-on generative AI examples using OpenAI, Gemini, AWS, Ollama, multimodal APIs, and agents. | Python |
| Developer LLM Apps | Companion samples for building LLM applications with Prompt Flow, LangChain, and Semantic Kernel. | C# · Python |
| AI Agent × MCP Workshop | Workshop materials for building AI agents and integrating MCP with .NET. | C# · .NET |
- AI Agent 奇幻旅程：MCP 通往異世界金鑰
- Python 原力爆擊：OpenAI / Gemini / AWS / Ollama 生成式 AI 應用新手指南
- LangChain 奇幻旅程：OpenAI × Gemini × 多模態應用開發指南
- 極速 ChatGPT 開發者兵器指南：Prompt Flow、LangChain 與 Semantic Kernel
- 駕馭 ChatGPT 4：探索 Azure OpenAI 與 Cognitive Service for Language 開發實踐
- Co-founder of K.NET, a developer community in Kaohsiung, Taiwan
- Organizer of Semantic Kernel Developers Taiwan
- Contributor to open-source learning materials and practical AI developer education
Let's turn AI ideas into systems people can actually use.
演講、工作坊、企業培訓與技術交流，歡迎透過 LinkedIn 與我聯繫。
