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hybrid cloud architecture using GCP, especially include local K8S, GaKE, Docker and other services. Implemented CI/CD systems and designed internal software processes, communicating closely with executive leadership. (2) Achievement: Enhanced IT infrastructure flexibility and scalability, improved system reliability and operational efficiency, reduced costs. 4. Data Platform and Personalized Recommendation System: (1) Responsibility: Built AWS data platform including ETL, data warehousing, and lakes. Led development of a personalized recommendation system using AWS Personalize, custom algorithm and Generative AI, e.g. OpenAI, Genimi. (2) Achievement: Boosted customer conversion rates by 2% through

margin of less than 3 cm. Computer Vision Body Reconstruction Stable Diffusion DApp: Exercise Classification Implemented real-time activity recognition for specified exercises, including but not limited to push-ups and squats, enabling accurate tracking and analysis of workout routines. Skeleton Detection Motion Classification Body AI: 3D Body Data Analysis Engage in a variety of AI side projects focused on leveraging 3D body data, encompassing tasks such as Body ID Recognition, Body Measurements Prediction, and Body Shape Classification. Mesh Data Processing Body Modulization: SMPL Project Engineer • Acer Inc. JanMay 2021 Working in research and development (RND

Sean Wang Hello, I'm Sean. With over 9 years of extensive experience in software development, I excel in employing divergent thinking to address abstract client requirements and tackle various implementation challenges within systems. I specialize in integrating diverse user contexts and crafting solutions based on available resources. I enjoy analyzing the essence of things through multidimensional observation. New Taipei City, [email protected] Academic qualifications 2008//06 Chihlee University of Technology Information management Bachelor's graduation 2005//06 Ger Jyh Senior High School Data Processing Department Vocational

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 files. Utilized Databricks for large-scale data processing, leveraging

R 語言。 專案： CHR ｢人格測評信效度驗證｣ 數據分析 空壓機數據分析 電鍍製程數據分析 鋼捲數據分析競賽 交通影像辨識模型建模 Conduct field assessment, issue identification, data filtering, data engineering, modeling, prediction, result visualization, and analysis on data provided by the field. Also, construct code for data automation processing project requirements, primarily utilizing Python, with some usage of the R language. CHR "Personality Assessme...

through Telegram. Managed concurrent data processing from multiple data sources using Python’s asynchronous programming (asyncio), effectively handling high-concurrency data streams to ensure timeliness and responsiveness. Utilized MongoDB Atlas for the cloud database, meticulously designed DB schema and regularly scheduled cron jobs to automatically update and maintain data consistency and reliability. Developed cryptocurrency copy trading systems and term arbitrage strategies: Implemented term arbitrage strategies using WebSocket technology to monitor market quotes in real-time, significantly enhancing the speed of data updates and system response compared to traditional polling methods. Processed time-series data using pandas

WEN YU TING (Wendy Wen) Data Analyst、Data Engineer、Data Scientist Taipei，TW [email protected] Core qualifications is using Python, R and SQL server for analysis, and also use distributed computingPyspark for data processing. Find insights from the data and make recommendations and improvements, use BI tool to present data visualization. Also familiar with BigQuery, Amazon and Google Analytics system. Use ML tools to observe therelated variables from the data, design variables, model, and analyze the prediction results. Tool Skill Python、R、Pyspark、SQL server、Jupyter、BigQuery、AWS、Google Analytics、Data Studio Professional