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江易倫 Data Scientist | Python | SQL | NLP | GenAI 具備5年以上程式撰寫能力，擅長Python、SQL與Linux 擅長資料清洗、分析與分類貼標 具有自然語言處理與研究經驗 大型語言模型LLM及生成式AI訓練與使用經驗 RAG技術使用與知識庫建立經驗 過往研究專案 中華電信智能標籤案

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

Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for

technologies such as OpenCV, Scikit-Image, scikit-learn, NumPy, Matplotlib, PyQt5, etc., to implement various functionalities. Additionally, I possess the ability to develop mobile applications using Django and React Native. I am proficient in using testing frameworks, GitHub for version control, and Docker for deployment. . Machine Learning and Deep Learning Here is a summary of the relevant technologies in the field of 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

improve custo mer targeting, efficiency of back-office operations, and reduced costs through AWS IoT, Big Data, and Machine Learning solutions # AWS IoT Core, AWS IoT Event, AWS IoT Analytics, AWS Greengrass, AWS Glue, AWS Kinesis Service, AWS S3, AWS API Gateway, AWS lambda, AWS Step Function Design hands-on tutorials for the training course - AWS solutions architect, security, Develop, IoT, big data, and Machine Learning tutorials - Azure solutions architect Develop and Design patten for e-learning platform - Designed strict lab policy for e-learning platform lab and reducing 75% of the total cost - Azure pat...

謝慧珊 目前就職於公家機關擔任資訊人員，熱愛閱讀與寫作， 即將於致理科技大學進修商務智慧與創新科技研究所碩士班， 研究範圍為AI創新科技領域。 個性情感充沛並且喜歡觀察人群與反思，勇於接受挑戰。 座右銘： 樂觀積極，感恩惜福 www.shammixxd159

model to make the company’s private AI (Vector DB), or connecting to the API of public generative AI through prompt, or It uses golang and k8s api to create extensions, yaml or Terraform for automated deployment. 4. Use tensorflow's forests decision prediction to obtain some information, machine learning frameworks such as tensorflow and pytorch, and also use huggingface's lib to connect multiple models (self-study of basic AI or machine learning and other related knowledge), and also study google self attention model, etc. 5. Experience in using multiple clouds, and using Terrafrom to