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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

practical applications. Skills Languages: Python, R, SQL, MATLAB, C, C#, JavaScript, Node.js Software & Tools: PyTorch, PyTorch Lightning, Tensorflow, Scikit-Learn, NLTK , GCP, Linux, SQL / NoSQ , Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow, Git, Docker, Jenkins, Line Bot , Azure Bot Service, Tableau ML & NLP Techniques: LMOps, RAG, Fine-tune LLMs, Text Generation, Multi-Document Summarization, Recommendation System, Text Classification, Named Entity Recognition, CoT Research and Work Experience Research Assistant OctPresent Institute of Information Science, Academia Sinica, Taiwan Natural Language and Knowledge Processing Lab (NLP Lab) National Taiwan University Hospital (NTUH): Focused on exploring

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：利用sequence to sequence模型架構，輸入經

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

. 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

優化系統並提升可承載量。熟悉多種後端框架和前端框架，能夠快速適應不同的開發環境。 具有一定程度的自然語言處理（NLP）理解，尤其在文本分析、情感分析和語意理解方面。能夠理解NLP技術在解決實際問題中的應用場景，並與團隊合作實現項

司使用。 學歷 明新科技大學 學士學位 • 資訊工程 | 2011 ~ 2015 技能 程式語言 Python (Django) Perl JavaScript C、C# Java 資料庫 MariaDB MSSQL MySQL Sybase 版本控制 Git 開發工具 Vs code Postman Nginx Gunicorn 網站分析工具 Google Analytics Google Search Console 自然語言處理 Dialogflow ES 技能訓練 資訊工業策進會 Java跨平台程式設計就業養成班 • EEIT91 |~