供相對應的數據分析 - 針對不同 project 進行 exploratory data analysis 分析 AI 工程師 • 林口長庚醫院-AI core lab 六月三月 2021 【建置 AI 模型與應用】 - 利用 AI deep learning CNN models，解決醫療領域的問題 - 利用機器學習方法輔助解決醫療領域問題 - 搭配 Linux bash shell 幫助 AI 模型的運行 1. Corneal ulcer - 建立

Ko-Wei Chuang Machine Learning Engineer Taipei City, Taiwan I have over 10 years of working as an engineer and programmer. the summary of my working experience about below: I. 3 years iOS/Android App development II. 6 years for server/ backend /service design III. 10 years client-site development IV. 2 years Machine learning/Deep learning Work Experience Machine Learning Engineer • Revovision Ltd JulyPresent 1. use machine learning model to solve the internal requirements. 2. research deep learning and top pre-training models to help the company

宋浩茹 Hao-Ru Sung| [email protected] | LinkedIn ｜ GitHub A s a Research Assistant at Academia Sinica , specializing in Generative AI research and application. With 3 + years of experience in NLP a nd Machine Learning , along with 4+ years in Backend Development . Proficient at translating complex theories into practical applications. Skills Languages: Python, R, SQL, MATLAB, C, C#, JavaScript, Node.js Software & Tools: PyTorch, PyTorch Lightning, Tensorflow, Scikit-Learn, NLTK , GCP, Linux, SQL / NoSQ , Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow

Shih-Wen Tsou - With more than 5 years of experience in Data Analysis, Machine Learning and Deep Learning, familiar with Modeling, Data Analysis, Image Processing, Machine Learning, and Deep Learning. Taipei City, Taiwan WORK EXPERIENCE Lead Data Scientist / Full Stack Data Scientist, Vinnovation Network, Taipei, Taiwan Data Engineering / Data Analysis Spearheaded the development of a fully automated data integration pipeline that aggregated diverse data sets into a S3 Data Lake. Successfully integrated a range of data sources, including real-time data feeds from AWS Redshift and DocumentDB, as well as batch processes to import traditional CSV

general zero-shot 12 gestures model, with 95%+ accuracy, a significant enhancement from the former version has limited 80% accuracy for only 4 gestures and requires per user training session - Reviewed cutting-edge AI research papers and deployed in CoolSo's technology stack - Designed and trained DNN models with PyTorch and PyTorch Lightning - Enhanced models via transfer learning, augmentation, and parallel training - Developed C++ / Python SDK and deployed DNN models on Android and Linux / Windows. Digital Marketing and Advertisement (Volunteer) - Drove brand awareness and reach through digital channels - Created and managed posts on Facebook

結： https://dfon.io 專業技能及證照 領域 ： 機器學習、深度學習、資料科學、軟體工程 框架 ： PyTorch, Tensorflow, ReactJS, Vue, Angular, .NET, Flask, Django, NodeJS 程式語言 ： Python, C# .NET, Java, C++, JavaScript MLOps & DevOps : Hugging Face, MLflow, Azure, AWS, GitLab/ GitHub, Docker, Kubernetes 資料庫 ： MSSQL, MongoDB, Reddis 語言能力 ： 英語 (母語)、中文(母語) 專業證照 ： Neural Networks and Deep Learning (Credential ID: VF8UQ63ZUNFW)

林昭源 (Leo Lin) 1. Two years of management experience. 2. More than 10 years of computer vision and deep learning/software architecture development experience. 3. Programming experience using python. 4. Good paper reading ability and practical ability 5. Familiar with computer vision, deep learning (CNN, Resnet, densnet, GAN), object detection (Yolo series, RCNN series), segmentation models (UNet, DensUNet). 6. Experience in semi-supervised or unsupervised learning (pesudo labeling, Voxmorph model). 7. Experience with Docker, Git, Jenkins DevOps. Education: National Taiwan University of Science and