@Jabil Corp. Data science team, Data scientist
Has strong computer vision background, by using data scientific tools to analyze data, make data speak, applied AI-based cosmetic inspection solution to manufacturing shop-floor.
Have more than a 4-year experience in system development and software design
Interest in cutting-edge technology, especially the term of AI, have a own project of Deep Learning.
Good at self-learning, Desire to recognize the real world through Data.
Data Scientist
Taichung,TW
Birth : 1994.03.08
Email : [email protected]
Jabil (NYSE: JBL) is a manufacturing solutions provider that delivers comprehensive design, manufacturing, supply chain and product management services. Leveraging the power of over 200,000 people across 100 sites strategically located around the world.
Responsibilities :
1. Using modern deep learning tools to perform cosmetic defect detection.
2. Data visualization, make data speak to help factory to make decisions.
3. Leading-in infrastructure concepts.
4. Design/Develop a infrastructure for scrum development.
5. Design/Develop automation control system with C#/C++.
6. Team work with external corporations in AI projects.
Improve the efficiency of making products in the shopfloor.
As a leading TFT-LCD panel supplier, Innolux has been deeply engaged in the research and development of TFT-LCD technology and production with its abundant innovative energy and insistence on high quality. Specialized in manufacturing TFT-LCD panel.
Experience :
1. Training AI technology/knowledge every Saturday.
2. Cutting-edge algorithm introduction.
3. Build up data science fundamental knowledge.
Learning :
1. Operation systems
2. Data structure
3. Linear algebra
4. Discrete mathematics
5. Engineering mathematics
6. Software languages : C#/C++/Python/Java/Java script...etc.
I have more than a 4-year experience in system development and software design (Automation system, MES system, Machine vision, Data science, System refactoring, software architecture design), and I am also passionate about discovering cutting-edge technology in order to see if it can help a company develop more efficiently.
I have been professionally using C++ and SQL database for 3 years. Together with the team we have developed Automation system and MES system.
The main job of Automation system is to control the whole process of manufacturing a product. I have added some functions to the system and I have also enhanced its efficiency.
As for MES system, main function is to schedule the next task for every machine, I have been responsible for providing necessary maintenance and improving the overall performance of the MES system
In 2019, I transferred to Data Science team of IT department. Since I had the previous experience of manufacturing, I started using data from factories to perform data mining, data analysis as well as modeling based on machine learning.
One of the projects that I have led from the very beginning aimed to use the power of the AI to do visual inspection: before we provide a solution to an operation site, a factory machine operators can use AOI (Automated Optical Inspection) machine to detect any defects of the product. Our goal is to aid the operation site to perform more efficiently by providing a more accurate way of inspection than the typical AOI machine, it also helps to run this operation without extra workforce. with the help of this project, I can work with other company's team smoothly, and we have started using the scrum master development to trace each member's progress, as a result, we deliver the most suitable solution to the operation site successfully. One of the achievements of this project has been the reduction of the overkill rate from 20% to 6.7%.
Tensorflow back-end, design a CNN model to recognize the captcha images.
Development tools : Pycharm
Libraries : Tensorflow, Pandas, Numpy, CaptchaImage...etc.