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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

Featured Resume

Last updated on Mar 27th 2025

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

Work experiences

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Software Engineering Section Manager

仁寶

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

佳世達科技股份有限公司

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.

Educations

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National Taipei University of Technology

電機系

2010 - 2012
Logo of National Taipei University of Technology.

National Taipei University of Technology

電機系

2006 - 2010