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陳俊宏 Experience in camera BSP developing for 3yrs. Experience in adaptor charger driver for 1yrs. Experience in artificial intelligence and machine learning for 1yrs. Experience radio antenna configuration and CTS verify testing for 2yrs. Kaohsiung City, Taiwan 工作經歷 software engineer • ASUS 二月二月 2018 Responsible for camera driver, adaptor charger driver porting and camera HAL layer maintained, and also take charge of power flow control and leakage current on devices, PMIC maintained etc.,. 學歷交通大學 網路通訊 技能 語言

Julio Macrohon (余俊杰) Hsinchu County, Taiwan Experience IT Consultant with a demonstrated history of working in the banking, manufacturing (fast-moving consumer goods), and education industries with skills in ITIL, EDI, and Project Management, among others. Acquired a PhD in Information Engineering from I-Shou University as a scholar from Taiwan's Education Ministry with published research on AI and Machine Learning. Commitment to knowledge-sharing and research through active engagements with non-government organizations dedicated to advancing the United Nations Sustainable Development Goals. Work Experience Middle and Upper School Computer Science Teacher • Hsinchu County

Cloud GPU Google Cloud VM Google Cloud AutoML Google Cloud Vision API Other Cloud Source Heroku App Service Line Bot ML/AI AI Tool TesnsorFlow SKlearn Keras Matlab OpenCV Algorithm Principal Component Analysis Partial Least Squares Gaussian Process Deep Neural Networks Convolutional Neural Networks Genetic Algorithm Other Application Reinforcement Learning Object Detection Faster RCNN Yolo v3 Generative Adversarial Networks Experience 台灣塑膠工業(FPC) - AI Engineer - Sept~ present 1. AI應用 - 工廠製程之品質軟測量(Soft Sensors)模型建立 2. AI應用 - 製程

Lee, C. I., Su, Y. R. , Chen, C. H., Chang, T. A., Kuo, E. E., Zheng, W. L., Hsieh, W. T., Huang, C. C., Lee, M. S., & Liu, MEnd-to-end deep learning for recognition of ploidy status using time-lapse videos. Journal of assisted reproduction and genetics, 38(7), 1655–1663. https://doi.org//s技能 專業領域：Computer Vision, Image Processing, Machine Learning, Deep Learning 程式語言：Python

2.Build and design data center for data storage and integration data from different sources. 3.Design team KPI directly with CEO to motivate and quantify the contribution of teamwork. 4.Customize personal growing path for each member and build a sharing and life-long learning team culture. 5.Collaborate with PM and vendor to design the ERP system in order to accelerate operation efficiency. 6.Design and develop automation platform for multiple departments to provide real-time information and speed up the data gathering process from weekly degree to daily