Specializing in Full-Stack Automation, Server Thermal Algorithms (patent pending), and AI Implementation. Developed server cooling algorithms, predictive burn-in modules, and an OpenAI code review bot (saving 30% of review time). Expert in Golang/Python full-stack development and DevOps workflow integration.

Software Engineer

Advantech | 2022/11 – Present

🚀 Core Skills & Expertise

• ✅ Server Thermal Algorithm: Specialized in temperature control strategies with patent application experience.
• ✅ AI Implementation: Integrated OpenAI API into DevOps workflows and utilized mathematical regression models for stress prediction.
• ✅ Full-Stack Automation: Proficient in Python/Golang backends and modern Electron/React frontend architectures.
• ✅ Infrastructure as Code (IaC) & DevOps: Experienced with Docker, Drone CI, Gitea Webhook, and BMC/IPMI protocols.

💼 Key Projects & Contributions

Industrial/AI Server Fan Control Tool Development

1. Fan curve algorithm optimization, data collection, and deployment

   • #Golang, #BashScript, #Algorithm, #Fancurve, #PIDalgorithm, #ipmitool, #BMC
   • Innovative R&D: Developed a methodology to analyze server endurance limits through pre-testing, automatically generating optimized temperature control algorithms.
   • Quantitative Results: Testing verified that the new algorithm improved performance by approximately 20%~40% compared to traditional open-loop control strategies, effectively optimizing cooling efficiency and energy saving (Patent Pending).

2. Automated server stress testing tool development

   • #Golang, #BashScript, #Algorithm
   • Smart Burn-in Prediction: Established a Mathematical Regression Model for burn-in testing. Used various stress scripts (CPU, GPU, RAM, FIO, ETH) as input variables to accurately predict and combine them to achieve target loads (e.g., precisely controlling at 50% or 100% loading).
   • Solving Pain Points: Resolved the difficulty of precise load control in traditional testing, providing a high-reliability environment for airflow evaluation.

3. Real-time sensor data visualization and storage

   • #Python, #Golang, #MySQL, #Grafana
   • Multi-Device Synchronization: Developed automation tools enabling real-time synchronous monitoring for 1-to-5 servers.
   • Visual Dashboard: Integrated Grafana and MySQL to visualize and store sensor data in real-time, providing R&D personnel with intuitive performance analysis views.

4. Remote/Local server testing tool development

   • #Golang, #Python, #Linux, #BashScript
   • Hybrid Architecture Design: Combined Golang’s high concurrency with Python’s rich ecosystem to build high-efficiency remote/local testing vehicles.
   • Cross-Platform Support: Ensured tool compatibility and stability across different Linux distributions and hardware architectures.

GenAI and Corporate Productivity Enhancement

1. Automated code review tool using OpenAI API and Gitea Actions

   • #AI, #LLM, #automatic, #workflow, #codereview, #restfulapi, #CI/CD
   • DevOps Integration: Built an automated review bot using Drone CI and Gitea Webhooks to trigger events and integrate the OpenAI API.
   • Workflow Optimization: Successfully intercepted potential syntax errors and reduced senior engineers’ code review time by approximately 30%, significantly enhancing team delivery efficiency.

2. GenAI-based email content extraction and automated delivery

   • #AI, #LLM, #workflow, #CI
   • Automated Workflow: Utilized LLM technology to automatically analyze and extract key email content, achieving intelligent information distribution and delivery, reducing the time cost of manual filtering.

🛠️ Tech Stack

• Languages: Golang, Python, JavaScript/TypeScript (React).
• AI/ML: Mathematical Regression, OpenAI API, Deep Learning Basics.
• Infrastructure: Docker, Drone CI, IPMI, Server BMC.
• Frameworks: FastAPI, Electron.

🖼️ Reference Images

Image 1: Server Thermal Control Algorithm

Image 2: Smart Burn-in Automation System

Image 3: Hybrid Architecture Productivity Tool