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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), I provided demand analysis, conceived system architecture, and developed core technology in AI projects Medical AI: Cancer Cells Detection Designed an image preprocessing algorithm and conducted training and optimization for a cancer cell

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

home appliances. 4、Linkage of machine and mobile phone. 5、Draw product character illustrations and plan the layout of the Tokyo Game Show in Japan Dongwaton Biotech Co., Ltd 2014 /6 ~ 2015/7 ▪ Special Assistant - Marketing Planning Supervisor -Online shopping: product marketing, product listing, image processing, APP. 1. Dongsen, VIVA, PCHOME, United Daily News, Songguo Shopping, 91APP, shopline, facebook, etc., carry out product listings and create product-related information. 2、 Understand the commission of each online platform, and discuss product activities with the business. 3、 Create graphics and banners

as expected, CI/CD still have some benefit on code quality. We can not really benefit from CI/CD, because we still have some work not yet finished: database migration, test coverage...etc. Papyless Co.,Ltd, Software Engineer , Mar 2018 ~ SepDevelop some image transform toolkit. - Develop a brand new item manage systemTechnicsProgram Language: PHP, Node JS Database: MySql, Reddis Framework: Laravel Version Control: GitDescThe most I've done is to improve efficiency of back-end system. To do that we imported reddis cluster and upgraded some image processing tools via

machine learning that I have researched and become familiar with over the past year: Numpy (Numerical Computing Library) : Numpy is one of the core libraries for numerical computing in Python. It provides powerful mathematical functions and array operations, capable of handling multidimensional arrays and matrix operations. In data processing and analysis, Numpy is an indispensable tool for efficiently handling large amounts of data. Pandas (Data Analysis Library) : Pandas is an important library in Python for data analysis and data processing. It offers powerful data structures such as DataFrame and Series, making data reading, manipulation, and analysis

recommendations based on previous purchases, 2022/05/10 Feature engineering (特徵工程): - Silver medal (solo): (Kaggle) 1st and Future - Player Contact Detection: Detect Player Contacts from Sensor and Video Data, 2023/03/03 AIGC (生成式AI): - Bronze medal (solo): (Kaggle) Stable Diffusion - Image to Prompts: Deduce the prompts that generated our "highly detailed, sharp focus, illustration, 3d renders of majestic, epic" images, 2023/05/16 Object detection (目標檢測): - 4th place (solo): (Aidea AI CUP) 肺腺癌病理切片影像之腫瘤氣

to-Speech (TTS) technology to convert text into natural, fluent voice across multiple languages, suitable for virtual assistants and customer service bots. Voice Interaction Interfaces: Developing voice interaction interfaces that enable digital personas to conduct natural dialogues, offering more humanized interaction methods. Large Language Models and Natural Language Processing: Personalized Response Generation: Leveraging personality-driven large language models to provide customized responses based on different interaction contexts and user data. Context Understanding and Application: Deeply analyzing contextual information to optimize the model’s accuracy in complex dialogues and specialized domains. Machine Learning and Data Analysis: Data