Building AI that runs on the edge.
I'm an AI Sensing Application Engineer at Seeed Studio, focused on bringing AI from research into real-world embedded devices.
My work spans the complete edge AI stack—from embedded hardware and Linux systems to AI deployment, computer vision, LLMs, robotics, and cloud integration.
I enjoy building open-source projects, writing technical documentation, and exploring new AI hardware platforms.
- 🤖 Building AI applications for edge devices
- 🧠 Deploying LLMs on embedded platforms
- 📷 Computer Vision & AI Sensing
- 🐧 Embedded Linux & System Integration
- ☁️ Cloud + Edge AI
- 📖 Creating technical tutorials and demos for developers
- 🌍 Open-source contributor
| Category | Technologies |
|---|---|
| Languages | C • C++ • Python • Bash • JavaScript |
| AI Frameworks | PyTorch • ONNX Runtime • TensorFlow Lite • OpenCV • Ultralytics YOLO |
| Edge AI | NVIDIA Jetson • Raspberry Pi • Rockchip RK3588/RK3576 • ESP32 • STM32 |
| Linux & DevOps | Ubuntu • Docker • Git • GitHub Actions • SSH |
| IoT | Home Assistant • MQTT • Node-RED |
| Cloud | Azure • REST APIs • GitHub |
- Edge AI
- Computer Vision
- Embedded Linux
- AI Cameras
- AI Agents
- Local LLM Deployment
- Robotics
- Home Automation
- RAG
- Multimodal AI
- 🤖 AI & Computer Vision Projects
- 📷 Edge AI Demos
- 🐧 Embedded Linux Development
- 🔌 Hardware Tutorials
- 📖 Technical Documentation
- 🏠 Home Assistant Integrations
- 🧠 LLM Deployment Examples
- 💼 LinkedIn: https://www.linkedin.com/in/wenzhuo-huang-7412413a1/
- 🧡 Reddit: https://www.reddit.com/user/HanzoHuang/
- 📧 Email: hanzo.huang.me@gmail.com