許立農 | Hsu, Li-Nung Data Scientist、Data Engineer Taipei [email protected] Education National Chenchi University, MS, Statistics, 2015 – 2017 GPA : 3.84 / 4.0 Master Thesis: Entropy Based Feature Selection, Professor Pei-Ting, Chou Objective: Build a similarity matrix based on Mutual Entropy under Hierarchical Clustering. Afterwards, select clustered features as the final selection. Compare the model with other feature selection methods like RF, Lasso, F-score. National Chen-Kung University, BS, Mathematics, 2011 – 2015 Skills Programing Python Scala R MSSQL Data-related Tools Tensorflow (Keras) PyTorch Spark Docker
Eddy Chen Machine Learning Engineer New Taipei City, Taiwan 2 years of experience in self-driving car project and focus mainly on object detection, sensor fusion and sensor calibration. 3+ years of experience in machine learning. Used to conduct research in medical AI projects and possess experience in implement real-world end-to-end ML project . Skills Programming Languages Python C++ SQL Machine Learning TensorFlow Pytorch Scikit-learn Matplotlib Others FastAPI Docker Redis Linux Certification Taiwan AI Academy - AI Technical Professionals Program NVIDIA DLI Certificate – Applications of AI for Anomaly Detection Work Experience Machine
Chin Ya Chang Machine Learning Engineer New Taipei City , Taiwan [email protected] I am an AI Software Engineer, specializing in developing various types of models, including convolutional neural networks (CNNs), generative adversarial networks (GANs), and graph neural networks (GNNs). I keep up-to-date with the latest research papers and actively incorporate cutting-edge architecture into my work. In the maintenance part of the AI development environment, I use docker to establish and maintain the development environment and set the LLM model to use in the environment. Previously, I worked as a Data Analyst
魏孝全 Siao 專業設計量化問題的統計量，有數據模擬、建模、驗證的經驗。 長期研究中文的自然語言處理，近期工作是處理 Real-time bidding 相關的問題。 Taipei, Taiwan 工作經歷 Machine Learning Engineer • 現觀科技 Groundhog Technologies - Real-time bidding strategy in digital advertising. - Ad selection, Budget Controller - CTR model inference time speed up 40% - CTR model training time speed up 600% - De-anonymization, Historical
Open to opportunities
Full-time / Not interested in working remotely
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