.com 工作經歷 China Engineering Consultants, Inc., Data Scientist | Associate Researcher, Sep 2020 ~ 現在 • Design large and expansive scale, implement distributed computing of data. • Processing, cleansing, verifying and optimizing the data process pipeline used for analysis. • Selecting features, building and optimizing classifiers using machine learning techniques. • Analyze large amounts of data to discover trends and patterns. • Build predictive models and machine learning algorithms. • Present information using data visualization techniques. • Collaborate with other team to build supervised and unsupervised learning capabilities with prediction, early alerting, and prescriptive recommendations. TAITRA

邱義塵 於獨角獸多媒體設計有限公司擔任 遊戲測試工程師一職 建立公司測試團隊的測試流程和撰寫自動化測試程式 SDET、AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist 城市，TW [email protected] 工作經歷 獨角獸多媒體

Kai Cheng (Austin) Liu As a data scientist and engineer with 7 years of experience developing data-driven solutions in Smart Manufacturing and Data Privacy. Skilled in ML algorithms, MLOps, data governance and pipelines. Awarded Kaggle Silver. I expertise in Agile Methodologies and a keen interest in ESG. I have excellent communication skill and am adept at collaborating effectively with colleagues and stakeholders. Taiwan 工作經歷 Data Scientist • Delta Electronics, Inc. (台達電子工業 股份有限公司) 五月Present 1. Built manufacturing quality monitoring

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 Learning Engineer NEUTEC • MayPresent Develop, optimize and maintain the machine learning algorithm for internal process automation. Deploy machine

our content delivery system to the online readers according to their real time behaviors. I lead the system architecture design Handle concurrent traffic from over 5M users everyday Leverage google cloud services such as GKE, GAE, and Pub/Sub. General algorithm development in large scale (Octnow) Deep learning is fascinating, I was a member of " Deep learning 101 Study Group " and learned a lot from there. However, in practical scenarios, it's surprising to see some fundamental algorithms can show us more insights. PySpark dataframe programming Recommendation algorithm design, improved and achieved the best performance