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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

抓取金融新聞，將繁體文章標題與內文透過語言轉換工具(opencc)轉為簡體，最終使用情感分析工具(snownlp)進行股市漲跌分析。 技術：NLP、Beautifulsoup、 opencc 、 snownlp 、 Matplotlib 台灣景氣指標預測模型 side project 使用深度學習框架(Pytorch)自行搭建預測模型，以各式台灣景氣指標當作輸入，輸出未

產品數據中台，專注於新功能開發、問題排查，並致力於優化團隊的開發流程。參與公司開源專案 accio 的 DSL parser 開發，負責開發 ChatGPT 自然語言獲取數據的 Plugin。 #Node.js #Typescript #Data Modeling #GraphQL 後端工程師 愛酷智能科技 AccuHit AI technology company 九月三月 2023 Taipei, Taiwan 主導團隊升級 PHP

李昀庭 Data scientist Taiwan 技能 Machine learning and Engineering skills: Python, Big Query, Google Storage, Linux, Docker, GCP, AWS, Scikit-learn, Tensorflow, Pytorch, MLOps, FastAPI, Machine Learning, Deep Learning, Computer Vision, NLP Experimental design, Project management, Product design English - TOEIC 725 工作經歷 AI工程師 Playsee NovPresent Taipei, Taiwan 自動化標註推薦系統 設計並實踐架構取代25個標註者並及時標記和篩選視頻審核內容。 設計並優化影片

換成文字 清華大學 National Tsing Hua University, 深度學習工程師 deep-learning-engineer, Oct 2017 ~ Sep 2018 實驗室要導入時間序列相關深度學習之先導研究，題目為自然語言處理，利用tensorflow搭建NLP語言模型 (1) 文本分類：利用RNN與CNN進行文本分類。 (2) Word to vector：文字向量轉化 (3) 文本摘要總結：利

. Developed a Chinese characters full-text search database with customized full-text search database and index creation based on the inverted index, resulting in higher efficiency of exact search of Chinese characters than the current database software (SQL Like). Implemented the search algorithm, indexing, and sorting functions using NLP techniques such as HMM, SVM, TF-IDF, and inverted index. Designed and implemented non-dictionary-based, word segmentation, word vector, and article categorization by SVM to improve the accuracy of search results. Optimized the search engine's performance, reducing the search time by 90% and improving the

Emily Ledoux Delivery Principal Seasoned Delivery Principal in the Data Practice. Focused on designing robust, scalable data ecosystems in the cloud to feed insights and data visualizations. Well-rounded consultant with experience spanning sales, recruiting, and delivery. Proven Delivery & Client Lead. Portland, OR, USA https://www.linkedin.com/in/emily-ledoux/ Work Experience JanuaryPresent Principal Data Architect Kin + Carta Delivery or Client Lead for over 25 resources, including direct reports, delivery oversight, hours tracking, QBRs, onboarding management, budget ownership and related responsibilities. Cloud Architect, designing Azure and