Avatar of Danny_Teng.
Danny_Teng
Software Engineer (Design Leader) at Compal
列印
Avatar of the user.

Danny_Teng

Software Engineer (Design Leader) at Compal
Phone: 0953921960 Email: [email protected] DOMAIN KNOWLEDGE -Software and hardware testing expertise. -Skilled in automated testing tools and workflow optimization. -Proficient in API development and database management. -Experience with AI integration and AI data annotation. TECHNICALS SKILLS -Python / PyQt / Openpyxl -ABB Robot / Robot Studio -PostgreSQL / Linux / Docker
Logo of the organization.
仁寶
Logo of the organization.
National Taipei University of Technology
Taipei, Taiwan
台湾

精选履历

最后更新于 2025年3月27日

专业背景

  • 目前状态
    就职中
  • 专业
    Python 开发人员
    系统架构
    QA、测试工程师
  • 产业
    物联网/IoT
    消费性电子产品
    医疗器材
  • 工作年资
    6 到 10 年 (6 到 10 年相关工作经验)
  • 管理经历
    我有管理 1~5 人的经验
  • 技能
    Python
    Docker
    Robot Studio
    ABB ROBOT 操作應用
    Data Annotation
    AI
    PostgreSQL
    IoT Testing
    Automatic Control Systems
    Automatic Testing
    Quality Assurance
    Communication
  • 语言能力
    English
    中阶
  • 最高学历
    硕士

求职偏好

  • 目前状态
    正在积极求职中
  • 预期工作模式
    全职
    对远端工作有兴趣
  • 希望获得的职位
    軟體工程師
  • 期望的工作地点
    Taipei, 台灣
    新北市, 台灣
  • 接案服务
    不提供接案服务

工作经验

Logo of the organization.

Software Engineering Section Manager

2016年6月 - 现在
台灣
-Develop a universal IoT testing system with modularized test scripts that can be flexibly invoked based on product requirements, simplifying the development process and reducing IoT product development time by 70% and testing time by 30%. -To achieve IoT product testing automation, we developed control programs for various testing instruments, successfully implementing seven control solutions. This innovation optimized the testing process, significantly improving efficiency and reducing testing time by 50%. -To boost R&D efficiency and reduce manpower, I led five automation projects covering document processing, data analysis, and test instrument control. These initiatives cut processing time by 75%, reduced manpower by 50%, and lowered labor costs by 50%, significantly improving overall efficiency. -To achieve EMC test automation, I developed a fully automated EMC testing system by integrating robotic arms, electromagnetic equipment, and image recognition technology. This system enabled continuous testing throughout the day, reducing test time by 50% and improving accuracy by 30%. -To enhance the AI training efficiency in the factory AOI testing system, I led a team of three members to develop an AI model training system for AOI. The system includes features such as annotation, version control, and model training. This solution reduced AI training and deployment time by 70%. -To meet customer requirements for tracking AI production history, I developed dozens of PostgreSQL backend APIs, enabling the factory SFIS system to quickly query AI production data at each stage. This initiative reduced NTF issue analysis time by 50%. -To enhance the operational efficiency of five AI servers storing AI AOI data, I analyzed daily maintenance tasks and developed 12 automated server management programs. These solutions streamlined workflows, reduced manual effort, and cut maintenance time and labor by 50%.
Logo of the organization.

Software Quality Assurance Engineer

2014年2月 - 2016年4月
2 年 3 个月
台北市, 台灣
-As a Mobile Software Quality Assurance Engineer, designed and created test plans for Android-based systems, including sanity, system, monkey, and stress tests. -To automate black-box testing, developed an automated control program to execute various test cases, reducing manual effort and cutting test time by 70%, while enhancing efficiency and consistency.

职场能力评价