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Summary & Career Goals
- Computer Vision & AI Expertise: Over 12 years of experience in image processing, object detection, 3D reconstruction, and AI-driven automation.
- Machine Learning & Data Processing: Expanding expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and MLOps to enhance intelligent data-driven solutions.
- Python & Linux Proficiency: Proficient in Python, C++, OpenCV, and Halcon, with a strong focus on performance optimization and Ubuntu-based development.
- Cloud & Containerization: Skilled in Docker-based deployments and integrating scalable applications with modern cloud technologies.
- Distributed Systems & APIs: Passionate about architecting efficient distributed systems, optimizing system performance, and ensuring seamless API and platform integration.
- Open Source & Innovation: Dedicated to open-source collaboration, automation, and building AI-powered solutions that enhance user experience and system intelligence.
- Future Focus: With a solid foundation in AI and computer vision, I am now focused on advancing my expertise in Large Language Models (LLMs) to develop next-generation intelligent systems.
工作經歷
SOHO Workshop Owner
Winerva Software Tech • 四月 2015 - Present
- Role: Owner
- Responsibility： Spearheaded technology integration, system engineering, and quality optimization initiatives, enhancing operational efficiency for Taiwan’s SMEs. .
- Achievement:
- Capacitance Height Measurement System → Engineered a high-precision capacitance-based profiling system (±1 µm) for industrial surfaces.
- Coating Liquid Leak Detection System → Reduced false negatives by 30% with an AOI-powered leak detection system.
- Agricultural Product Grading System → Increased classification efficiency by 40% through AI-driven agricultural product grading.
- Hyperspectral and 3D Measurement System → Developed a multi-spectral imaging system for precision industrial analysis.
- Factory Digital Meter Inspection System → Built a high-speed OCR system for real-time manufacturing inspections.
- Headlight Luminescence Detection System → Achieved 95 %+ accuracy in headlight defect and luminance analysis.
- AI-powered visual inspection system supporting workpiece assembly → Designed and implemented a YOLO-powered visual inspection system, improving assembly efficiency and delivering 98% accuracy in real-world production scenarios.
Visual Imaging Engineer
Weijun Precision Machinery Co., Ltd. • 十二月 2012 - 三月 2015
- Role: R&D Manager
- Responsibility：Engineered a screw optical inspection system, enabling the company to launch inspection services and expand machine sales.
- Achievement:
- Screw Size Measurement & Surface Defect AOI System → Achieved 99.5% defect detection accuracy in screw size and surface AOI.
CIM Engineer
E-ton Solar • 二月 2010 - 十一月 2012
- Role：Information Department Assistant Manager
- Responsibility：Spearheaded planning and maintenance of internal MES/CIM systems to optimize solar panel production.
MES Software Developer
Genesis Technology, Inc. Hsin-Chu City 300, Taiwan, R.O.C • 七月 2007 - 一月 2010
- Role：R&D Senior engineer and assistant manager
- Responsibility：Spearheaded MES system architecture design and key technology R&D.
- Achievement:
- Multi-layer Distributed System Architecture → Engineered a multi-layer architecture handling 500K+ transactions/day, boosting efficiency by 50%.
- Multi-layer Distributed System Architecture → Engineered a multi-layer architecture handling 500K+ transactions/day, boosting efficiency by 50%.
systems analyst
Tung-I Information Service • 三月 2004 - 三月 2007
- Role：Equipment Automation Process Senior engineer
- Responsibility：Spearheaded EAP module development and contributed to the IBM MES project.
- Achievement:
- Chi Mei LCD MES Project → Integrated IBM LCDView, achieving full automation for Plants 4 & 6.
- Inotera Semiconductor MES System → Enhanced semiconductor production by 20% via IBM SiView MES integration.
Educational Background
Kun Shan University (https://www.ksu.edu.tw/)
Electrical Engineering • 1989 - 1994
Software Skills
- Python, C++, C#, JavaScript, TypeScript
- Linux, Windows, Docker, Database, EAP, MES, AOI
Language
- Chinese — Native Language
- English — Technical Document Listening, Speaking, Reading, Writing
Python Developer | Computer Vision & Image Processing Specialist
- 25+ years of software development experience | 8 years in Python development
- Expert in computer vision, image processing, machine learning, and Docker deployment
- Proficient in Linux (Ubuntu), Git, UML, and testing frameworks (UnitTest, JUnit)
💡 Skills & Expertise
- Programming Languages: Python, JavaScript, TypeScript, PHP
Computer Vision & Image Processing: OpenCV, YOLO, PyQt5, PySide6, CloudCompare
Containerization & Cloud: Docker, NAS deployment
- Databases: MongoDB, PostgreSQL, MySQL
- Frontend & Full-Stack Development: React, Next.js, React-Native, Laravel
- Operating Systems: Ubuntu (Debian-based), Windows
- Version Control & Testing: Git, UML, CVS, UnitTest, JUnit
📌 Key Projects
- Cross-Platform Computer Vision Inspection System
- Developed a computer vision application that runs on Windows, Linux, and Docker.
- Integrated 2D and 3D industrial cameras for high-precision measurement, defect detection, bin picking, and plant growth analysis.
- Leveraged YOLO AI for object classification and automated recognition.
🔹 Plant Growth Analysis System (Developed for Academia Sinica’s Agricultural Institute)
Designed and implemented an image analysis system to monitor plant growth.
Developed a scheduling system to control a gantry system for automated image collection and analysis, enhancing agricultural automation.
🔹 Next.js Application Development & NAS Deployment
Built dynamic data visualization applications using Next.js.
Utilized Docker to deploy applications on NAS for portability and maintainability.
🌍 International Collaboration Experience
Led a Manufacturing Execution System (MES) development team, overseeing enterprise-grade system development.
Served as Deputy IT Manager, collaborating with industrial camera and robotic arm suppliers from Germany, Japan, and South Korea.
🎯 Additional Highlights
Maintains open-source projects on GitHub and is well-versed in the open-source ecosystem.
Participated in UML technical forums to stay updated with the latest industry trends.
Personal Strengths: Passionate about technology, highly focused, and quick to learn and adapt to new technologies.
專案
IoT Data Collection
Raspberry Pi, PLC, and PC to collect data from connected sensors and devices. You can save data into a Database and show a Chart on the web.
Next.js Website
Use Next.js to develop a Website, including many webpages, and show a portfolio to clients.
YOLO Use Case
Use YOLO to train OK and NG images, get a model, and apply this model to a Computer Vision Application.
軟體開發架構
Personal Technical Reference Sites
Winerva Company: https://www.winerva.com/portfolio
Blog: https://blog.winerva.com
GitHub: https://github.com/fluber
DockerHub: https://hub.docker.com/search?q=winerva
Bitbucket: https://bitbucket.org/fluber/
Summary & Career Goals
- Computer Vision & AI Expertise: Over 12 years of experience in image processing, object detection, 3D reconstruction, and AI-driven automation.
- Machine Learning & Data Processing: Expanding expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and MLOps to enhance intelligent data-driven solutions.
- Python & Linux Proficiency: Proficient in Python, C++, OpenCV, and Halcon, with a strong focus on performance optimization and Ubuntu-based development.
- Cloud & Containerization: Skilled in Docker-based deployments and integrating scalable applications with modern cloud technologies.
- Distributed Systems & APIs: Passionate about architecting efficient distributed systems, optimizing system performance, and ensuring seamless API and platform integration.
- Open Source & Innovation: Dedicated to open-source collaboration, automation, and building AI-powered solutions that enhance user experience and system intelligence.
- Future Focus: With a solid foundation in AI and computer vision, I am now focused on advancing my expertise in Large Language Models (LLMs) to develop next-generation intelligent systems.
工作經歷
SOHO Workshop Owner
Winerva Software Tech • 四月 2015 - Present
- Role: Owner
- Responsibility： Spearheaded technology integration, system engineering, and quality optimization initiatives, enhancing operational efficiency for Taiwan’s SMEs. .
- Achievement:
- Capacitance Height Measurement System → Engineered a high-precision capacitance-based profiling system (±1 µm) for industrial surfaces.
- Coating Liquid Leak Detection System → Reduced false negatives by 30% with an AOI-powered leak detection system.
- Agricultural Product Grading System → Increased classification efficiency by 40% through AI-driven agricultural product grading.
- Hyperspectral and 3D Measurement System → Developed a multi-spectral imaging system for precision industrial analysis.
- Factory Digital Meter Inspection System → Built a high-speed OCR system for real-time manufacturing inspections.
- Headlight Luminescence Detection System → Achieved 95 %+ accuracy in headlight defect and luminance analysis.
- AI-powered visual inspection system supporting workpiece assembly → Designed and implemented a YOLO-powered visual inspection system, improving assembly efficiency and delivering 98% accuracy in real-world production scenarios.
Visual Imaging Engineer
Weijun Precision Machinery Co., Ltd. • 十二月 2012 - 三月 2015
- Role: R&D Manager
- Responsibility：Engineered a screw optical inspection system, enabling the company to launch inspection services and expand machine sales.
- Achievement:
- Screw Size Measurement & Surface Defect AOI System → Achieved 99.5% defect detection accuracy in screw size and surface AOI.
CIM Engineer
E-ton Solar • 二月 2010 - 十一月 2012
- Role：Information Department Assistant Manager
- Responsibility：Spearheaded planning and maintenance of internal MES/CIM systems to optimize solar panel production.
MES Software Developer
Genesis Technology, Inc. Hsin-Chu City 300, Taiwan, R.O.C • 七月 2007 - 一月 2010
- Role：R&D Senior engineer and assistant manager
- Responsibility：Spearheaded MES system architecture design and key technology R&D.
- Achievement:
- Multi-layer Distributed System Architecture → Engineered a multi-layer architecture handling 500K+ transactions/day, boosting efficiency by 50%.
- Multi-layer Distributed System Architecture → Engineered a multi-layer architecture handling 500K+ transactions/day, boosting efficiency by 50%.
systems analyst
Tung-I Information Service • 三月 2004 - 三月 2007
- Role：Equipment Automation Process Senior engineer
- Responsibility：Spearheaded EAP module development and contributed to the IBM MES project.
- Achievement:
- Chi Mei LCD MES Project → Integrated IBM LCDView, achieving full automation for Plants 4 & 6.
- Inotera Semiconductor MES System → Enhanced semiconductor production by 20% via IBM SiView MES integration.
Educational Background
Kun Shan University (https://www.ksu.edu.tw/)
Electrical Engineering • 1989 - 1994
Software Skills
- Python, C++, C#, JavaScript, TypeScript
- Linux, Windows, Docker, Database, EAP, MES, AOI
Language
- Chinese — Native Language
- English — Technical Document Listening, Speaking, Reading, Writing
Python Developer | Computer Vision & Image Processing Specialist
- 25+ years of software development experience | 8 years in Python development
- Expert in computer vision, image processing, machine learning, and Docker deployment
- Proficient in Linux (Ubuntu), Git, UML, and testing frameworks (UnitTest, JUnit)
💡 Skills & Expertise
- Programming Languages: Python, JavaScript, TypeScript, PHP
Computer Vision & Image Processing: OpenCV, YOLO, PyQt5, PySide6, CloudCompare
Containerization & Cloud: Docker, NAS deployment
- Databases: MongoDB, PostgreSQL, MySQL
- Frontend & Full-Stack Development: React, Next.js, React-Native, Laravel
- Operating Systems: Ubuntu (Debian-based), Windows
- Version Control & Testing: Git, UML, CVS, UnitTest, JUnit
📌 Key Projects
- Cross-Platform Computer Vision Inspection System
- Developed a computer vision application that runs on Windows, Linux, and Docker.
- Integrated 2D and 3D industrial cameras for high-precision measurement, defect detection, bin picking, and plant growth analysis.
- Leveraged YOLO AI for object classification and automated recognition.
🔹 Plant Growth Analysis System (Developed for Academia Sinica’s Agricultural Institute)
Designed and implemented an image analysis system to monitor plant growth.
Developed a scheduling system to control a gantry system for automated image collection and analysis, enhancing agricultural automation.
🔹 Next.js Application Development & NAS Deployment
Built dynamic data visualization applications using Next.js.
Utilized Docker to deploy applications on NAS for portability and maintainability.
🌍 International Collaboration Experience
Led a Manufacturing Execution System (MES) development team, overseeing enterprise-grade system development.
Served as Deputy IT Manager, collaborating with industrial camera and robotic arm suppliers from Germany, Japan, and South Korea.
🎯 Additional Highlights
Maintains open-source projects on GitHub and is well-versed in the open-source ecosystem.
Participated in UML technical forums to stay updated with the latest industry trends.
Personal Strengths: Passionate about technology, highly focused, and quick to learn and adapt to new technologies.
專案
IoT Data Collection
Raspberry Pi, PLC, and PC to collect data from connected sensors and devices. You can save data into a Database and show a Chart on the web.
Next.js Website
Use Next.js to develop a Website, including many webpages, and show a portfolio to clients.
YOLO Use Case
Use YOLO to train OK and NG images, get a model, and apply this model to a Computer Vision Application.
軟體開發架構
Personal Technical Reference Sites
Winerva Company: https://www.winerva.com/portfolio
Blog: https://blog.winerva.com
GitHub: https://github.com/fluber
DockerHub: https://hub.docker.com/search?q=winerva
Bitbucket: https://bitbucket.org/fluber/