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Danny_Teng
Software Engineer (Design Leader) at Compal
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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
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仁寶
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National Taipei University of Technology
Taipei, Taiwan
Taiwan

Featured Resume

Last updated on Mar 27th 2025

Professional Background

  • Current Status
    Employed
  • Profession
    Python Developer
    System Architecture
    QA / Test Engineer
  • Fields
    Internet of Things (IoT)
    Consumer Electronics
    Medical Devices
  • Work Experience
    6-10 years (6-10 years relevant)
  • Management
    I've had experience in managing 1-5 people
  • Skills
    Python
    Docker
    Robot Studio
    ABB ROBOT 操作應用
    Data Annotation
    AI
    PostgreSQL
    IoT Testing
    Automatic Control Systems
    Automatic Testing
    Quality Assurance
    Communication
  • Languages
    English
    Intermediate
  • Highest Level of Education
    Master

Job Search Preferences

  • Current Status
    Ready to interview
  • Desired Job Type
    Full-time
    Interested in working remotely
  • Desired Positions
    軟體工程師
  • Desired Work Locations
    Taipei City, Taiwan
    New Taipei City, Taiwan
  • Freelance
    Non-freelancer

Work Experience

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Software Engineering Section Manager

Jun 2016 - Present
Taiwan
-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%.
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Software Quality Assurance Engineer

Feb 2014 - Apr 2016
2 yrs 3 mos
Taipei City, Taiwan
-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.