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Summary

Software QA & Automation Engineer specializing in the development of scalable unit testing frameworks and AI-powered debugging solutions. Strong experience in Python, Docker, and CI/CD pipelines, with a focus on optimizing AI inference workflows and automation for software testing.

Skills

  • Programming: Python, C++, Shell Script
  • Testing & Automation: Unittest, PyTest, GitLab CI/CD
  • AI Inference & Automation: PyTorch, LangChain, OpenCV
  • DevOps & Tools: Docker, Git, Jenkins, Ansible

Work Experience

Software Automation Test Development Engineer (RDSS) | NVIDIA | Dec 2024 - Current

  • Develop automation test infrastructure for data center: custom CLI for machine management, SSH/Redfish/PDU operations, and log monitoring
  • Built firmware stress dashboard: Google Sheets + CI integration, automated report generation, watchdog monitoring, and AI-powered failure pattern analysis
  • Delivered AI-powered debugging tools: RAG-based bug search and ticket generation, and REST API for test result analysis with root cause suggestions and trend analysis
  • Focus on system-level stability testing and AI-assisted test case generation

Advanced Robotic Platform Intern | ADLINK | Feb 2022 - Jun 2022

  • Robot Application Software Development and Testing
  • Creation and Maintenance of Product User Manuals

Projects

NewsBot AI | Automation Project

  • Integrated AI-driven news summarization with Ollama and automated workflows with n8n
  • Deployed the project using Docker, enabling easy scalability and maintenance

AnonymousMessage | Web Application Project

  • Designed and implemented an anonymous messaging system with a user-friendly web interface
  • Used Google Apps Script to handle form submissions and store data in Google Sheets

Worker-MCP | AI-driven Project

  • Dockerized MCP Server for JIRA, Confluence, and internal bug/team data retrieval
  • OAuth authentication and comment sanitization

Education

Master of Electrical Engineering | NTUST | 2022 - 2024

  • Thesis: “Multimodal Image Dehazing with Zero-Shot CLIP Model”

Bachelor of Electrical Engineering | NTUT | 2018 - 2022

  • Capstone Project: “Enhancing Automated Pain Detection in Laboratory Mice via Machine Learning”