0975-853-078
New Taipei City, Taiwan
Currently working as an intelligent manufacturing engineer at AUO, responsible for production line intelligent related projects, defect detection and daily function establishment. I participated in Tibame AI engineer training and Coursera course learning(IBM, Deeplearning.AI) before. Since learning, I have been using online resources to learn. I have good learning ability. I like logical thinking and programming, and even fall into it.
Have good self-learning ability, bring a pleasant working atmosphere to the team in the process of teamwork, like to share and discuss technology with others, cultivate their own Code Review, and hope to become a leader in the field of programming.
Sep 2021 - Present
1. Familiar with the production line process and on-duty operations from nothing for two months
2. Manage the progress of AI projects
3. Programing for AI Manufacturing project
2018 - 2020
2014 - 2018
OpenCV
Yolo
Technology : YOLOv3, YOLOv5, OpenCV
Data : Kaggle Database
Process :
In this case, use yolov3 and yolov5 for training, understanding infrastructure and parameter adjustment
Technology : pandas, numpy, matplotlib, sklearn, xgboost
Data : Kaggle Database
Process :
Use svm, RandomForest and xgboost for training, most people say using xgboost can get best score in test, but not all training data are like this. In this case I got the best score from SVM.
Technology : Streamlit, pandas, sklearn
Data : Kaggle Database
Process :
This case is under continuous development. I hope that it can be automatically cleaned up, and choose best model and visualization can be analyzed.