Senior Embedded Systems Engineer | Embedded Linux, Secure Boot & Board Bring-up | AI & Web Enthusiast
With over 25 years of experience, I transform complex hardware concepts into stable, production-ready networking products. I thrive at the intersection of Hardware, Software, and FPGA — especially during the critical Board Bring-up (Day 0) and system integration phases.
Beyond my professional work, I'm also passionate about AI, web technologies, and developer tools — exploring how modern software can make development smarter and more accessible.
- Embedded Linux: Kernel development, U-Boot, Driver optimization, RootFS (Yocto/Buildroot)
- Board Bring-up & HW/SW Integration: Expert on NXP (LX2160), Marvell (ARM), and Intel platforms
- Security: Secure Boot implementation (Cisco Trust Anchor), 5G-ORAN (Genevisio)
- High-Speed Interfaces: 25G SerDes, PTP/SyncE optimization
- Networking Products: Full lifecycle delivery — concept → prototyping → mass production → field support
- Cross-Team Collaboration: Bridging gaps between SW, HW, and FPGA teams; mentoring through code reviews and architectural guidance
Notable background: Delivered mission-critical networking equipment at Cisco (ASR1K, ISR, Network Modules).
What I build in my spare time — exploring new technologies and creating tools that help developers work smarter.
🖥️ M5Stack-Diag
Real board bring-up workflow for M5Stack CoreS3 — ESP-IDF, UART Console, sensor diagnostics & power management
- Built with: C, ESP-IDF framework, Clean Architecture
- Highlights: Real-time sensor monitoring, Interactive UART command console, Power management & thermal monitoring, Modular & extensible diagnostic modules
An AI round-table in your browser — ask one question, get answers from 4 AI models with an unbiased Chairperson summary. Features anonymous members, randomized order, deep-dive one-on-one chats, and an Offline Demo Mode that needs zero API keys.
- Built with: Pure frontend HTML/CSS/JS (single file, no backend)
- Highlights: Anti-bias architecture, recursive summarization, customizable system prompts
A private, self-hosted AI stack (inference, chat, RAG, and MCP tool calling) that keeps models and documents inside your own network boundary — with real cost, tokens/s, and failure data recorded instead of assumed.
- Built with: Docker Compose, Ollama, Open WebUI, MCP, cloudflared, Bash scripts
- Highlights: Private by default (Ollama never published, outbound-only tunnel), local stack and RAG + MCP verified end to end, measured vs. projected figures explicitly labelled, 76 dated engineering decisions documented, bilingual docs
- Status: Local stack and RAG + MCP working; GPU endpoint and agent runtime still in progress
A full-stack web platform showcasing popular GitHub projects with AI-powered features, including trending project scraping, smart search, and AI-generated recommendations
- Built with: AI-assisted development (TypeScript, React, Python)
- Features: Smart search, AI recommendations, trending scraper, responsive UI
🔧 JobSpy
Job market analytics and scraping tool for employment market insights
- Built with: Python (AI-assisted)
- Purpose: Employment market data analysis
🤖 ESP32-AI
28.9M param offline LLM on M5Stack CoreS3 — bilingual story generation with Google PLE, ~9.5 tok/s
- Built with: C (ESP-IDF/Arduino), Python (training pipeline)
- Highlights: 14.9MB quantized model in Flash, ~9.5 tok/s inference, temperature sampling, Chinese LCD rendering via M5GFX
Exploring AI applications and business automation concepts
- Built with: Python (AI-assisted)
Collection of Claude Code configuration templates for different project types
- Built with: Shell scripts, configuration management
| Domain | Core Competency | Exploring / AI-Assisted |
|---|---|---|
| Embedded & Firmware | Embedded Linux, U-Boot, Yocto/Buildroot, Kernel Drivers, Secure Boot | — |
| Platforms | NXP LX2160, Marvell (ARM), Intel, Cisco ASR1K/ISR | — |
| Interfaces | 25G SerDes, PCIe, I2C/SPI, PTP/SyncE | — |
| FPGA Integration | HW/SW/FPGA co-design, Day-0 bring-up | — |
| Web Development | — | TypeScript, React (AI-assisted) |
| Backend | Python (scripting/automation) | Python, Node.js (AI-assisted) |
| AI / ML | — | Claude AI integration, AI-powered features |
| Tools | Shell scripting, configuration management | GitHub API, Web scraping |
- Advanced AI integration patterns
- Full-stack web development
- Cloud deployment strategies
- Modern embedded tooling and automation
- Open-source AI projects
- GitHub ecosystem tools
- Web scraping and data analysis
- Developer productivity tools
- Embedded systems tooling
- 🤖 Artificial Intelligence & Machine Learning
- 🛠️ Embedded Systems & Hardware-Software Integration
- 🔐 Secure Boot & Platform Security
- 🌐 Web Development & Full-Stack Applications
- 📊 Data Analysis & Web Scraping
- 💼 Business Automation
- LinkedIn: ian-chang-56136479
- GitHub: @ian0318git
- Location: Melbourne, Australia
- Open to: Senior Embedded Systems roles, collaboration on interesting projects
- 🎯 I believe in the power of AI to democratize software development
- 🚀 I don't just write code — I identify systemic bottlenecks and bridge communication gaps between cross-functional teams
- 🌍 Always excited to explore new technologies and frameworks
- 💪 Love contributing to open-source and learning from the community
- 📖 Passionate about mentoring and raising team standards through robust code reviews
- 🔄 Seen products through the entire lifecycle — from concept to mass production and field support
擁有 超過 25 年 經驗，我擅長將複雜的硬體概念轉化為穩定、可量產的網路產品。我尤其熱衷於 硬體、軟體與 FPGA 的交匯處，特別是在關鍵的 Board Bring-up (Day 0) 和系統整合階段。
在專業工作之外，我也對 AI、Web 技術和開發者工具 充滿熱情 — 探索現代軟體如何讓開發更智慧、更容易。
- Embedded Linux: Kernel 開發、U-Boot、驅動程式優化、RootFS (Yocto/Buildroot)
- Board Bring-up 與 HW/SW 整合: 精通 NXP (LX2160)、Marvell (ARM) 和 Intel 平台
- 安全機制: Secure Boot 實作 (Cisco Trust Anchor)、5G-ORAN (Genevisio)
- 高速介面: 25G SerDes、PTP/SyncE 優化
- 網路產品: 完整生命週期交付 — 概念 → 原型 → 量產 → 現場支援
- 跨團隊協作: 橋接 SW、HW 與 FPGA 團隊之間的溝通差距，透過 Code Review 與架構指導提升團隊水準
重要經歷: 在 Cisco 參與關鍵網路設備開發 (ASR1K、ISR、Network Modules)。
業餘時間的探索 — 嘗試新技術，建立幫助開發者提高效率的工具。
🖥️ M5Stack-Diag
M5Stack CoreS3 真實 Board Bring-up 工作流程 — ESP-IDF、UART 控制台、感測器診斷與電源管理
- 使用方式: C, ESP-IDF 框架, Clean Architecture
- 亮點: 即時感測器監控、互動式 UART 命令控制台、電源管理與溫度監控、模組化可擴展診斷模組
私有、自架的 AI 技術棧（推論、對話、RAG 與 MCP 工具呼叫），讓模型與文件留在自己的網路邊界內，並以實測記錄成本、tokens/s 與失敗案例，而非憑空假設。
- 使用方式: Docker Compose、Ollama、Open WebUI、MCP、cloudflared、Bash 腳本
- 亮點: 預設私有（Ollama 不對外發布、僅用對外連出的 tunnel）、本地堆疊與 RAG + MCP 已端到端驗證、實測與推估數據明確標註、76 筆有日期的工程決策紀錄、中英雙語文件
- 狀態: 本地堆疊與 RAG + MCP 可運作；GPU endpoint 與 agent runtime 仍在進行中
在瀏覽器中開 AI 圓桌會議 — 問一個問題，4 個 AI 同時回答，再由匿名主席做出總結。特色包括匿名化委員、隨機打亂順序、一對一深聊、以及免 API Key 的離線模擬模式。
- 使用方式: 純前端 HTML/CSS/JS（單一檔案，無後端）
- 亮點: 反偏頗架構、遞迴總結、可自訂 System Prompt
一個全面的平台，用於發現和探索 GitHub 上最受歡迎的開源項目，由 AI 建議和實時趨勢數據提供支持。
- 使用方式: AI 輔助開發（TypeScript、React、Python）
- 功能: 智能搜尋、AI 建議、趨勢爬蟲、響應式 UI
🔧 JobSpy
職位市場分析和爬蟲工具
- 使用方式: Python（AI 輔助）
- 用途: 就業市場數據分析
🤖 ESP32-AI
28.9M 參數離線 LLM 在 M5Stack CoreS3 上 — Google PLE 雙語故事生成，~9.5 tok/s
- 使用方式: C（ESP-IDF/Arduino）、Python（訓練管線）
- 亮點: 14.9MB 量化模型存入 Flash、~9.5 tok/s 推論、隨機溫度取樣、M5GFX 中文字型 LCD 顯示
探索 AI 應用和業務自動化概念
- 使用方式: Python（AI 輔助）
針對不同項目類型的 Claude Code 配置模板集合
- 使用方式: Shell 腳本、配置管理
| 領域 | 核心專業 | 探索 / AI 輔助 |
|---|---|---|
| Embedded 與韌體 | Embedded Linux, U-Boot, Yocto/Buildroot, Kernel Drivers, Secure Boot | — |
| 平台 | NXP LX2160, Marvell (ARM), Intel, Cisco ASR1K/ISR | — |
| 介面 | 25G SerDes, PCIe, I2C/SPI, PTP/SyncE | — |
| FPGA 整合 | HW/SW/FPGA 協同設計, Day-0 bring-up | — |
| Web 開發 | — | TypeScript, React（AI 輔助） |
| 後端 | Python（腳本/自動化） | Python, Node.js（AI 輔助） |
| AI / ML | — | Claude AI 集成、AI 驅動功能 |
| 工具 | Shell 腳本、配置管理 | GitHub API、網頁爬蟲 |
- 高級 AI 集成模式
- 全棧 Web 開發
- 雲端部署策略
- 現代嵌入式工具與自動化
- 開源 AI 項目
- GitHub 生態工具
- 網頁爬蟲和數據分析
- 開發者生產力工具
- 嵌入式系統工具鏈
- 🤖 人工智慧與機器學習
- 🛠️ 嵌入式系統與軟硬體整合
- 🔐 Secure Boot 與平台安全
- 🌐 Web 開發與全棧應用
- 📊 數據分析與網頁爬蟲
- 💼 業務自動化
- LinkedIn: ian-chang-56136479
- GitHub: @ian0318git
- 地點: 澳洲墨爾本
- 開放機會: Senior Embedded Systems 職位，也歡迎有趣的項目合作
- 🎯 我相信 AI 的力量能夠民主化軟體開發
- 🚀 我不只是寫程式 — 我善於識別系統性瓶頸，並在跨職能團隊之間搭建溝通橋樑
- 🌍 對探索新技術和框架充滿熱情
- 💪 喜歡為開源做貢獻並向社區學習
- 📖 熱衷於透過 Code Review 和架構指導提升團隊標準
- 🔄 經歷過產品從概念到量產再到現場支援的完整生命週期
Thanks for visiting! / 感謝您的訪問！ 🙌
Feel free to explore my projects, open issues, or reach out for collaboration!
歡迎探索我的項目、提出 Issue，或聯繫我進行合作！