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Principal @Cascade Data Labs2016 ~ 2022
・
Director Data
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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
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・
Bật trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
University of Pennsylvania
・
Economics
Senior Analyst, Software Engineer @Synpulse Taiwan Ltd. | 星普思管理諮詢有限公司2022 ~ Hiện tại
・
Software Developer
Trong vòng một tháng
李仕航 Sean Lee About me • Capable in multiple programming languages, such as Python, Java, C#, etc. •With mature database management skills, including SQL and NoSQL DB • Experience with development tools, like Visual studio, Azure, Git, Gira •With knowledge of web development, including HTML, CSS, ASP.NET, Javascript, React.js • With AI related knowledge, including NLP, machine learning and data manipulation •Be able to pick up new skills and stay updated of emerging technologies Taipei, Taiwan Contact Email: [email protected] Mobile:LinkedIn: https://www.linkedin.com/in
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Bật trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
Queensland University of Technology(昆士蘭科技大學)
・
Computer Science
Customer Engineer @iKala 愛卡拉互動媒體股份有限公司2022 ~ Hiện tại
・
Trong vòng hai tháng
Đã có việc làm
Full-time
4-6 năm
國立中央大學
・
認知與神經科學所Senior Backend Developer @KryptoGO., Ltd.2019 ~ 2020
・
Senior Backend Engineer
Trong vòng ba tháng
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Tắt trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
National TSING HUA University
・
Institute of Communications Engineering
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
Trong vòng một tháng
宋浩茹 Hao-Ru Sung| [email protected] | LinkedIn ｜ GitHub A s a Research Assistant at Academia Sinica , specializing in Generative AI research and application. With 3 + years of experience in NLP a nd Machine Learning , along with 4+ years in Backend Development . Proficient at translating complex theories into 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
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Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
國立政治大學（National Chengchi University）
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資訊科學系Founder @MyDearTeacher2014 ~ 2022
・
Data, backend or project management
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Full-time / Quan tâm đến làm việc từ xa
6-10 năm
University of Colorado Boulder
・
Data Science
Sessional Assistant @Victoria University of Wellington2022 ~ 2023
・
Researcher, Lecturer
Trong vòng sáu tháng
Hafiza Anam Masood I am a highly ambitious and self-driven individual skilled in Advanced Quantitative Research and Applied Methodology, currently immersed in a cutting-edge research project utilizing machine learning and NLP. Certified in Python for Financial Programming and Data Science Tools, complemented by practical insights from an Ethical Finance internship. Completed the Cambridge Islamic Finance Structuring Master, showcasing a global perspective. Proven proficiency in diverse Python projects, eager to contribute to impactful educational endeavors. https://www.linkedin.com/in/hafiza-anam-masood-ba7b09121 , Email: drhafizaanam@gmail.
Đang học tập
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
University of Management and Technology - UMT
Software Engineer @CakeResume2022 ~ Hiện tại
・
Software Engineer
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analytics tools and event tracking systems. Spearheaded the integration of Strapi (a content management system), enhancing the team's ability to quickly produce pages and distribute content . Pioneered the integration of LLM model API services. Research Assistant, Academia Sinica 11//2020 Conducted research in deep learning-based Natural Language Processing (NLP), exploring innovative approaches in machine learning. Experimented with various training methods and models, including multi-task learning and language models such as BERT. Authored a publication titled "Detecting Deceptive Language in Crime Interrogation". Investigated Memory Networks and applied them to develop
Reputation Credits1
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Tắt trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
10-15 năm
National Taiwan University
・
Computer Science and Information Engineering
Past
Career transition @Career Break2024 ~ 2024
・
NLP Engineer / Data Scientist / Machine Learning Engineer
Trong vòng một tháng
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
Thất nghiệp
・
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
National Chengchi University
・
資訊科學系
AI Engineer @Playsee2022 ~ Hiện tại
・
資料分析師、資料科學家、產品經理
Trong vòng một tháng
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
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Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
National Cheng Kung University
・
心理所（認知科學所）Kế hoạch tuyển dụng đơn giản và hiệu quả nhất
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
Tình trạng hiện tại
Đã có việc làm
Tiến trình tìm việc
Professions
Full Stack Development, Data Scientist, Research / R&D
Fields of Employment
Big Data, Trí tuệ nhân tạo/ Máy học, Phần mềm
Kinh nghiệm làm việc
2-4 năm
Management
I've had experience in managing 1-5 nhân viên
Kỹ năng
Ngôn ngữ
Chinese
・
Bản địa hoặc song ngữ
English
・
Trung cấp
Job search preferences
Vị trí
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
Loại hình công việc
Full-time
Địa điểm
Tainan, Taiwan
Làm việc từ xa
Quan tâm đến làm việc từ xa
Freelance
Đúng, tôi là một freelancer nghiệp dư.
Học vấn
Trường học
國立臺南大學
Chuyên ngành
資訊工程
蔡易霖丨Tsai, Yi-Lin
現職台灣人工智慧學校 AI 工程師，帶領超過二十個業界專案經驗，其領域包含智慧製造、醫療、交通、服務等。喜歡研究技術，也有經營 Blog 分享實作教學，以及參與技術聚會。除此之外我還是個網頁全端工程師，休閒之餘會寫個 Side Project 磨練技術。喜歡以資訊科技的角度探索世界，生活中到處與程式、科技息息相關。
國立臺南大學資訊工程學系碩士畢業，研究領域包括機器人智慧型代理人、模糊專家系統與機器學習、腦機介面與情緒評估、注意力機制。熱衷實作與系統開發，擅於網頁前後端並整合機器學習。曾參與多項科技部AI產學計畫與競賽，並於WCCI-IEEE 2020機器學習應用國際競賽團隊榮獲第一名。
AI Engineer、Full Stack Developer
Tainan，TW
[email protected]
技能
Programming
- Good:
- Python
- Java
- C
- JavaScript
- CSS3
- HTML5
- MySQL
- NoSQL
- Basic
- PHP
- C#
Version Control
- Git
- GitHub
- GitLab
- Bitbucket
Framework
- Artificial Intelligence:
- Scikit-learn
- TensorFlow
- PyTorch
- Front end:
- React.js
- Vanilla.js
- Bootstrap
- Back end:
- Node.js
- Socket.io
- MQTT
- Flask
- Edge Device:
- Android (Java)
- Arduino (C)
DevOps
- Circle CI
- Travis CI
- Coveralls
- Codecov
- Docker
Certificate
-
發照日｜證照字號｜專業證照或檢定證書名稱
- 2015/01/20 F170-4529 Microsoft Exam 70-483: Programming in C#
- 2015/06/13 232150600005990 TQC+ 程式語言 (C)
- 2015/06/17 F474-5458 Microsoft Technology Associate: HTML5 Application Development Fundamentals
- 2016/08/11 247449524OCPJSE6P Oracle Certified Professional, Java SE 6 Programmer
Industry Projects
- 光電業
- FAB 機台環境濕度控制 (檢驗與測量預測)
- 液晶面板 RGB 覆蓋率預測 (檢驗與測量預測)
- 抽水馬達健康檢測 (預測性維護)
- 運輸業
- 大眾運輸系統乘客安全預警 (行為偵測)
- 列車車廂振動評估 (預測性維護)
- 醫療業
- 處方簽藥品排斥偵測 (自然語言處理)
- 醫藥健康英文資料自動翻譯 (自然語言處理)
- 製造業
- 焚化爐控制最適化 (設備參數最佳組合)
- 鍋爐燃燒效率最佳化 (設備參數最佳組合)
- 設備劣化預警分析 (設備異常預測)
- 膠粒粒徑辨識與統計 (瑕疵檢測與統計)
- DPC 產品中 PS 含量預測 (檢驗與測量預測)
- 以人工智慧優化蒸餾塔效能 (檢驗與測量預測)
- 無塵室作業SOP檢測 (動作偵測)
- 其他
- PISA學生學習評量分析 (學生能力分析)
- 煙霧,火焰智能偵測 (環境偵測)
- 腳踏車行駛安全偵測 (行為預測)
- 鳥類聲紋辨識 (信號處理)
- 房價預測 (價格預測)
- 電商推薦系統 (推薦系統)
學歷
國立臺南大學, 碩士學位, 資訊工程所, 2018 ~ 2020
人工智慧: 智慧型代理人 / 知識本體應用 / 模糊理論及應用 / 機器學習 / Fuzzy Markup Language
人機共同學習: 試題反應理論 / 適性評量 / 智慧機器人應用
📑 碩士論文 - 基於區域學習之AI-FML代理人於機器人實務應用
碩士論文提出AI-FML代理人應用至圍棋勝率預測及腦波情緒分析於音樂欣賞。在圍棋勝率預測實務應用方面，我們將區域學習(Patch Learning)機制嵌入至AI-FML代理人，使圍棋機器人具有感知智慧、認知智慧和計算智慧，以訓練圍棋勝率預測模型。 在腦波情緒分析於音樂欣賞實務應用方面，我們希望藉由分析腦波資訊找出腦波訊號和情緒之間的關聯性。透過機器人腦波人機介面(Brain Computer Interface, BCI)代理人分析腦波帽所收集的腦波圖(Electroencephalography, EEG)訊號，並將其轉換為五個生理指標，並藉由模糊推論機制來評估受試者的情緒。
📝 科技部計畫(研究生助理)-智慧機器人與人類共同合作學習於教育學習應用, 2018/08/01 ~ 2020/07/31
計畫主持人國立臺南大學李健興教授執行為期三年科技部計畫，提出一套智慧機器人與人類共同合作學習模式及人工智慧(AI)軟體系統，可實際融入於未來教育學習應用。實際情境應用研發及案例實作，並將邀請高雄市教育局及台南市教育局所屬學校師生實際導入智慧機器人共同學習。
💡 共同發明專利
- 情緒評估方法 專利證號：I699186 李健興/蔡易霖/王美慧/柯立偉 國立臺南大學 2020/07/21-2039/08/01
🏆 2019-03-30 FML智慧決策工具-AI知識應用暨系統實作邀請賽 大專院校組【佳作】
🏆 2019-03-30 FML智慧決策工具-AI知識應用暨系統實作邀請賽 【尚承科技特別獎】
🏆 2019-06-04 FML-based Machine Learning Competition@ IEEE CEC (Wellington, New Zealand) 團隊第二名
🏆 2019-06-18 FML-based Machine Learning Competition@ IEEE FUZZ (New Orleans, USA) 團隊第二名
🏆 2020-07-24 FML-based Machine Learning Competition@ IEEE WCCI (Glasgow, United Kingdom) 團隊第一名
🌎 2018-10-06~2018-10-10 參加 IEEE SMC 會議 @Miyazaki, Japan
🌎 2018-11-20~2018-11-24 國外移地研究 @TMU, Tokyo, Japan
🌎 2019-01-15~2019-01-19 國外移地研究 @TMU, Tokyo, Japan
🌎 2019-06-23~2019-06-30 參加 IEEE FUZZ 會議 @New Orleans, USA
🌎 2019-08-23~2019-08-26 國外移地研究 @TMU, Tokyo, Japan
長榮大學, 學士學位, 資訊工程學系, 2014 ~ 2018
💡 勞動力發展署就業學程計畫兼職助理, 2016/07/01 ~ 2017/06/30
💡 大專生科技部計畫-互動式語音助理之開發實作, 2017/07/01 ~ 2018/02/28
互動式語音助理是一款結合語音聲控、即時氣候資料的互動式系統，這款裝置可以讓使用者用最直接說話的方式，來進行資料的查詢，若是行車中使用，可以省去螢幕點選、輸入等手打動作，藉此減少駕駛者分心的機會。此外我們結合了政府公開資料，能夠即時的接收最新的環境資訊，並且使用具有物聯網功能的開發板，搭配Google語音辨識，能夠有效的分析語句並做出精準的答覆。
📝 【程式設計 I】教學助理 104 學年度第 1 學期
📝 【程式設計 II】教學助理 104 學年度第 2 學期
📝 【物件導向程式設計 I】教學助理 105 學年度第 1 學期
📝 【計算機概論 I】教學助理 105 學年度第 1 學期
📝 【計算機概論 II】教學助理 105 學年度第 2 學期
👨🏼🎓 【班級班代】 105 學年度第 2 學期
👨🏼🎓 【班級班代】 106 學年度第 1 學期
👦🏼 【長榮教育部資訊志工總召職位】 105、106 學年度
🎉 105學年度教育部資訊志工-榮獲優秀資訊志工
🎉 106學年度教育部資訊志工-榮獲卓越志工
🏆 2016-05-12 長榮大學校內程式競賽【佳作】
🏆 2016-10-20 2016 ACM-ICPC 入選為 ACM ICPC 亞洲區參賽【推薦名額】
🏆 2017-05-13 長榮大學校內程式競賽【第二名】
🏆 2017-05-16 第六屆全國大專 ITSA 盃程式設計桂冠挑戰大賽第五名【佳作】
🏆 2017-05-18 長榮大學資工系專案實作【第一名】
🏆 2017-06-09 長榮大學數位創作競賽數位應用組【第一名】
🏆 2017-06-10 嘉義黑蚵松-地方開放資料戰(資料視覺化組)【第二名】
🏆 2017-07-16 嘉義黑蚵松-地方開放資料黑客松(環境污染組)【第三名】
🏆 2017-08-06 亞洲跨國黑客松台灣選拔賽【台灣研發獎勵獎】
🏆 2018-06-01 中華民國斐陶斐榮譽學會(長榮大學分會)【榮譽會員】
🏆 2018-06-09 長榮大學資訊工程學系畢業生【智育獎】
著作
Google Scholar Profile
📑 期刊論文
- C. S. Lee, Y. L. Tsai, M. H. Wang, S. H. Huang, M. Reformat, and N. Kubota, "Adaptive fuzzy neural agent for human and machine co-learning," International Journal of Fuzzy Systems, 2021. (DOI: 10.1007/s40815-021-01188-6)
- C. S. Lee, M. H. Wang, W. K. Kuan, S. H. Huang, Y. L. Tsai, Z. H. Ciou, C. K. Yang, and N. Kubota, "BCI-based hit-loop agent for human and AI robot co-learning with AIoT application," Journal of Ambient Intelligence and Humanized Computing, 2021. (DOI: 10.1007/s12652-021-03487-0)
- C. S. Lee, M. H. Wang, Y. L. Tsai, W. S. Chang, M. Reformat, G. Acampora, and N. Kubota," FML-based reinforcement learning agent with fuzzy ontology for human-robot cooperative edutainment," International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 28, no. 6, pp. 1023-1060, 2020.
- C. S. Lee, M. H. Wang, Y. L. Tsai, L. W. Ko, B. Y. Tsai, P. H. Hung, L. A. Lin, and N. Kubota,"Intelligent agent for real-world applications on robotic edutainment and humanized co-learning," Journal of Ambient Intelligence and Humanized Computing, 2019. (DOI: 10.1007/s12652-019-01454-4)
📑 國際會議論文
- C. S. Lee, Y. L. Tsai, M. H. Wang, and N. Kubota," AI-FML agent with patch learning mechanism for robotic game of Go application," 2020 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2020), Toronto, Canada, Oct. 11-14, 2020.
- C. S. Lee, Y. L. Tsai, M. H. Wang, W. K. Kuan, Z. H. Ciou, and N. Kubota, " AI-FML agent for robotic game of Go and AIoT real-world co-learning applications," 2020 World Congress on Computational Intelligence (IEEE WCCI 2020), Glasgow, Scotland, UK, Jul. 19-24, 2020.
- C. S. Lee, M. H. Wang, W. K. Kuan, Z. H. Ciou, Y. L. Tsai, W. S. Chang, L. C. Li, N. Kubota, T. X. Huang, E. Sato-Shimokawara, and T. Yamaguchi, " A study on AI-FML robotic agent for student learning behavior ontology construction," 2020 International Symposium on Community-centric Systems (CcS 2020), Tokyo, Japan, Sept. 23-26, 2020.
- C. S. Lee, Y. L. Tsai, M. H. Wang, H. Sekino, T. X. Huang, W. F. Hsieh, E. Sato-Shimokawara, and T. Yamaguchi, "FML-based machine learning tool for human emotional agent with BCI on music application," 2019 International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2019), Kaohsiung, Taiwan, Nov. 21-23, 2019.
- C. S. Lee, M. H. Wang, Y. L. Tsai, R. P. Chang, L. C. Li, N. Takese, S. Yamamoto, and N. Kubota, "FML-based intelligent agent for robotic e-learning and entertainment application," 2019 International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2019), Kaohsiung, Taiwan, Nov. 21-23, 2019.
工作經歷
Delta Electronics, Inc. Senior AI Software Engineer, Aug 2022 ~ Now
Data Analysis、Machine Learning
- 工業自動化
- 預測性維護
- 軟硬整合/嵌入式系統
- AutoML 平台
Taiwan AI Academy,
AI Engineer, Sep 2019 ~ Jul 2022
Data Analysis、Machine Learning、Deep
Learning、CNN、GAN、RNN、物件偵測、智慧製造
- 技術實作 AI 專班課程 TA
- 經理人產業 AI 專班案例演講
- 場域專案 & 業界專題帶領(20+)
- 瑕疵檢測、生產排程、供應鏈管理、製程參數優化、智慧醫療...等
- 人工智慧小聚演講
- 物件偵測專班
- 智慧製造專班
Quapni Outdoor, Back End Engineer, Sep 2017 ~ May 2018
- 大四企業實習
- 建置公司庫存系統 API
- MySQL 資料庫的建立與設計
- Google Cloud Platform 雲端服務的架設
- 綠界金流的串接
- 網域 DNS 管理
https://ithelp.ithome.com.tw/users/20107247/ironman/1312
https://andy6804tw.gitbooks.io/restful-api/content/
成就
- 2020/04~2020/06 網頁外包, 震泰自動化科技股份有限公司網頁前端
- 2020/10~2022/01 康廸薾戶外, Android 人工智慧魚尺辨識開發
- Android APP 影像辨識開發
- TensorFlow & TFLite
- 2021/01~Now Cupoy AI 業界專家群
- 技術演講、機器學習百日馬拉松
演講
- 2019/10/18 台灣人工智慧小聚@台南 傳統AI遇見現代AI
- 2020/01/16 台灣人工智慧小聚@台南 動手做一個機器學習API
- 2020/03/20 台灣人工智慧小聚@台南 免費雲端Jupyter Notebook
- 2020/12/03 高雄科技大學工業工程與管理學系演講@高雄 2020AI趨勢應用、動手玩AI(1)
- 2020/12/10 高雄科技大學工業工程與管理學系演講@高雄 認識AI、動手玩AI(2)
- 2021/02/18 台灣人工智慧小聚@台南 The Year in AI-Looking Back at 2020, and Forward to 2021
- 2021/10/25 長榮大學資工系@台南 大學四年指南
- 2021/11/02 長榮大學資工系@台南 AI專題分享
- 2021/12/07 線上工作坊@Cupoy AI 學習社群 機器學習金手指-Auto-sklearn
- 2021/12/13 長榮大學資訊暨設計學院@台南 大國競逐下的AI新方向
- 2021/12/14 線上工作坊@Cupoy AI 學習社群 自動調參神器-Optuna
- 2021/12/21 線上工作坊@Cupoy AI 學習社群 你所不知道的關於AI二三事
- 2021/12/23 台灣人工智慧小聚@線上 淺談有意識的AI-注意力機制介紹
- 2022/03/09 台灣人工智慧小聚@線上 電腦視覺中的注意力機制
- 2022/12/16 線上工作坊@Cupoy AI 學習社群 初探注意力機制與Transformers模型網路
- 2023/08/22 生成式AI創新學院@線上 提問的藝術：用AI程式輔助工具加速開發效率
- 2023/11/04 長榮大學資工系@台南 善用「生成式AI」打造個人助手
專案
網頁
APP
人工智慧
蔡易霖丨Tsai, Yi-Lin
現職台灣人工智慧學校 AI 工程師，帶領超過二十個業界專案經驗，其領域包含智慧製造、醫療、交通、服務等。喜歡研究技術，也有經營 Blog 分享實作教學，以及參與技術聚會。除此之外我還是個網頁全端工程師，休閒之餘會寫個 Side Project 磨練技術。喜歡以資訊科技的角度探索世界，生活中到處與程式、科技息息相關。
國立臺南大學資訊工程學系碩士畢業，研究領域包括機器人智慧型代理人、模糊專家系統與機器學習、腦機介面與情緒評估、注意力機制。熱衷實作與系統開發，擅於網頁前後端並整合機器學習。曾參與多項科技部AI產學計畫與競賽，並於WCCI-IEEE 2020機器學習應用國際競賽團隊榮獲第一名。
AI Engineer、Full Stack Developer
Tainan，TW
[email protected]
技能
Programming
- Good:
- Python
- Java
- C
- JavaScript
- CSS3
- HTML5
- MySQL
- NoSQL
- Basic
- PHP
- C#
Version Control
- Git
- GitHub
- GitLab
- Bitbucket
Framework
- Artificial Intelligence:
- Scikit-learn
- TensorFlow
- PyTorch
- Front end:
- React.js
- Vanilla.js
- Bootstrap
- Back end:
- Node.js
- Socket.io
- MQTT
- Flask
- Edge Device:
- Android (Java)
- Arduino (C)
DevOps
- Circle CI
- Travis CI
- Coveralls
- Codecov
- Docker
Certificate
-
發照日｜證照字號｜專業證照或檢定證書名稱
- 2015/01/20 F170-4529 Microsoft Exam 70-483: Programming in C#
- 2015/06/13 232150600005990 TQC+ 程式語言 (C)
- 2015/06/17 F474-5458 Microsoft Technology Associate: HTML5 Application Development Fundamentals
- 2016/08/11 247449524OCPJSE6P Oracle Certified Professional, Java SE 6 Programmer
Industry Projects
- 光電業
- FAB 機台環境濕度控制 (檢驗與測量預測)
- 液晶面板 RGB 覆蓋率預測 (檢驗與測量預測)
- 抽水馬達健康檢測 (預測性維護)
- 運輸業
- 大眾運輸系統乘客安全預警 (行為偵測)
- 列車車廂振動評估 (預測性維護)
- 醫療業
- 處方簽藥品排斥偵測 (自然語言處理)
- 醫藥健康英文資料自動翻譯 (自然語言處理)
- 製造業
- 焚化爐控制最適化 (設備參數最佳組合)
- 鍋爐燃燒效率最佳化 (設備參數最佳組合)
- 設備劣化預警分析 (設備異常預測)
- 膠粒粒徑辨識與統計 (瑕疵檢測與統計)
- DPC 產品中 PS 含量預測 (檢驗與測量預測)
- 以人工智慧優化蒸餾塔效能 (檢驗與測量預測)
- 無塵室作業SOP檢測 (動作偵測)
- 其他
- PISA學生學習評量分析 (學生能力分析)
- 煙霧,火焰智能偵測 (環境偵測)
- 腳踏車行駛安全偵測 (行為預測)
- 鳥類聲紋辨識 (信號處理)
- 房價預測 (價格預測)
- 電商推薦系統 (推薦系統)
學歷
國立臺南大學, 碩士學位, 資訊工程所, 2018 ~ 2020
人工智慧: 智慧型代理人 / 知識本體應用 / 模糊理論及應用 / 機器學習 / Fuzzy Markup Language
人機共同學習: 試題反應理論 / 適性評量 / 智慧機器人應用
📑 碩士論文 - 基於區域學習之AI-FML代理人於機器人實務應用
碩士論文提出AI-FML代理人應用至圍棋勝率預測及腦波情緒分析於音樂欣賞。在圍棋勝率預測實務應用方面，我們將區域學習(Patch Learning)機制嵌入至AI-FML代理人，使圍棋機器人具有感知智慧、認知智慧和計算智慧，以訓練圍棋勝率預測模型。 在腦波情緒分析於音樂欣賞實務應用方面，我們希望藉由分析腦波資訊找出腦波訊號和情緒之間的關聯性。透過機器人腦波人機介面(Brain Computer Interface, BCI)代理人分析腦波帽所收集的腦波圖(Electroencephalography, EEG)訊號，並將其轉換為五個生理指標，並藉由模糊推論機制來評估受試者的情緒。
📝 科技部計畫(研究生助理)-智慧機器人與人類共同合作學習於教育學習應用, 2018/08/01 ~ 2020/07/31
計畫主持人國立臺南大學李健興教授執行為期三年科技部計畫，提出一套智慧機器人與人類共同合作學習模式及人工智慧(AI)軟體系統，可實際融入於未來教育學習應用。實際情境應用研發及案例實作，並將邀請高雄市教育局及台南市教育局所屬學校師生實際導入智慧機器人共同學習。
💡 共同發明專利
- 情緒評估方法 專利證號：I699186 李健興/蔡易霖/王美慧/柯立偉 國立臺南大學 2020/07/21-2039/08/01
🏆 2019-03-30 FML智慧決策工具-AI知識應用暨系統實作邀請賽 大專院校組【佳作】
🏆 2019-03-30 FML智慧決策工具-AI知識應用暨系統實作邀請賽 【尚承科技特別獎】
🏆 2019-06-04 FML-based Machine Learning Competition@ IEEE CEC (Wellington, New Zealand) 團隊第二名
🏆 2019-06-18 FML-based Machine Learning Competition@ IEEE FUZZ (New Orleans, USA) 團隊第二名
🏆 2020-07-24 FML-based Machine Learning Competition@ IEEE WCCI (Glasgow, United Kingdom) 團隊第一名
🌎 2018-10-06~2018-10-10 參加 IEEE SMC 會議 @Miyazaki, Japan
🌎 2018-11-20~2018-11-24 國外移地研究 @TMU, Tokyo, Japan
🌎 2019-01-15~2019-01-19 國外移地研究 @TMU, Tokyo, Japan
🌎 2019-06-23~2019-06-30 參加 IEEE FUZZ 會議 @New Orleans, USA
🌎 2019-08-23~2019-08-26 國外移地研究 @TMU, Tokyo, Japan
長榮大學, 學士學位, 資訊工程學系, 2014 ~ 2018
💡 勞動力發展署就業學程計畫兼職助理, 2016/07/01 ~ 2017/06/30
💡 大專生科技部計畫-互動式語音助理之開發實作, 2017/07/01 ~ 2018/02/28
互動式語音助理是一款結合語音聲控、即時氣候資料的互動式系統，這款裝置可以讓使用者用最直接說話的方式，來進行資料的查詢，若是行車中使用，可以省去螢幕點選、輸入等手打動作，藉此減少駕駛者分心的機會。此外我們結合了政府公開資料，能夠即時的接收最新的環境資訊，並且使用具有物聯網功能的開發板，搭配Google語音辨識，能夠有效的分析語句並做出精準的答覆。
📝 【程式設計 I】教學助理 104 學年度第 1 學期
📝 【程式設計 II】教學助理 104 學年度第 2 學期
📝 【物件導向程式設計 I】教學助理 105 學年度第 1 學期
📝 【計算機概論 I】教學助理 105 學年度第 1 學期
📝 【計算機概論 II】教學助理 105 學年度第 2 學期
👨🏼🎓 【班級班代】 105 學年度第 2 學期
👨🏼🎓 【班級班代】 106 學年度第 1 學期
👦🏼 【長榮教育部資訊志工總召職位】 105、106 學年度
🎉 105學年度教育部資訊志工-榮獲優秀資訊志工
🎉 106學年度教育部資訊志工-榮獲卓越志工
🏆 2016-05-12 長榮大學校內程式競賽【佳作】
🏆 2016-10-20 2016 ACM-ICPC 入選為 ACM ICPC 亞洲區參賽【推薦名額】
🏆 2017-05-13 長榮大學校內程式競賽【第二名】
🏆 2017-05-16 第六屆全國大專 ITSA 盃程式設計桂冠挑戰大賽第五名【佳作】
🏆 2017-05-18 長榮大學資工系專案實作【第一名】
🏆 2017-06-09 長榮大學數位創作競賽數位應用組【第一名】
🏆 2017-06-10 嘉義黑蚵松-地方開放資料戰(資料視覺化組)【第二名】
🏆 2017-07-16 嘉義黑蚵松-地方開放資料黑客松(環境污染組)【第三名】
🏆 2017-08-06 亞洲跨國黑客松台灣選拔賽【台灣研發獎勵獎】
🏆 2018-06-01 中華民國斐陶斐榮譽學會(長榮大學分會)【榮譽會員】
🏆 2018-06-09 長榮大學資訊工程學系畢業生【智育獎】
著作
Google Scholar Profile
📑 期刊論文
- C. S. Lee, Y. L. Tsai, M. H. Wang, S. H. Huang, M. Reformat, and N. Kubota, "Adaptive fuzzy neural agent for human and machine co-learning," International Journal of Fuzzy Systems, 2021. (DOI: 10.1007/s40815-021-01188-6)
- C. S. Lee, M. H. Wang, W. K. Kuan, S. H. Huang, Y. L. Tsai, Z. H. Ciou, C. K. Yang, and N. Kubota, "BCI-based hit-loop agent for human and AI robot co-learning with AIoT application," Journal of Ambient Intelligence and Humanized Computing, 2021. (DOI: 10.1007/s12652-021-03487-0)
- C. S. Lee, M. H. Wang, Y. L. Tsai, W. S. Chang, M. Reformat, G. Acampora, and N. Kubota," FML-based reinforcement learning agent with fuzzy ontology for human-robot cooperative edutainment," International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 28, no. 6, pp. 1023-1060, 2020.
- C. S. Lee, M. H. Wang, Y. L. Tsai, L. W. Ko, B. Y. Tsai, P. H. Hung, L. A. Lin, and N. Kubota,"Intelligent agent for real-world applications on robotic edutainment and humanized co-learning," Journal of Ambient Intelligence and Humanized Computing, 2019. (DOI: 10.1007/s12652-019-01454-4)
📑 國際會議論文
- C. S. Lee, Y. L. Tsai, M. H. Wang, and N. Kubota," AI-FML agent with patch learning mechanism for robotic game of Go application," 2020 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2020), Toronto, Canada, Oct. 11-14, 2020.
- C. S. Lee, Y. L. Tsai, M. H. Wang, W. K. Kuan, Z. H. Ciou, and N. Kubota, " AI-FML agent for robotic game of Go and AIoT real-world co-learning applications," 2020 World Congress on Computational Intelligence (IEEE WCCI 2020), Glasgow, Scotland, UK, Jul. 19-24, 2020.
- C. S. Lee, M. H. Wang, W. K. Kuan, Z. H. Ciou, Y. L. Tsai, W. S. Chang, L. C. Li, N. Kubota, T. X. Huang, E. Sato-Shimokawara, and T. Yamaguchi, " A study on AI-FML robotic agent for student learning behavior ontology construction," 2020 International Symposium on Community-centric Systems (CcS 2020), Tokyo, Japan, Sept. 23-26, 2020.
- C. S. Lee, Y. L. Tsai, M. H. Wang, H. Sekino, T. X. Huang, W. F. Hsieh, E. Sato-Shimokawara, and T. Yamaguchi, "FML-based machine learning tool for human emotional agent with BCI on music application," 2019 International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2019), Kaohsiung, Taiwan, Nov. 21-23, 2019.
- C. S. Lee, M. H. Wang, Y. L. Tsai, R. P. Chang, L. C. Li, N. Takese, S. Yamamoto, and N. Kubota, "FML-based intelligent agent for robotic e-learning and entertainment application," 2019 International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2019), Kaohsiung, Taiwan, Nov. 21-23, 2019.
工作經歷
Delta Electronics, Inc. Senior AI Software Engineer, Aug 2022 ~ Now
Data Analysis、Machine Learning
- 工業自動化
- 預測性維護
- 軟硬整合/嵌入式系統
- AutoML 平台
Taiwan AI Academy,
AI Engineer, Sep 2019 ~ Jul 2022
Data Analysis、Machine Learning、Deep
Learning、CNN、GAN、RNN、物件偵測、智慧製造
- 技術實作 AI 專班課程 TA
- 經理人產業 AI 專班案例演講
- 場域專案 & 業界專題帶領(20+)
- 瑕疵檢測、生產排程、供應鏈管理、製程參數優化、智慧醫療...等
- 人工智慧小聚演講
- 物件偵測專班
- 智慧製造專班
Quapni Outdoor, Back End Engineer, Sep 2017 ~ May 2018
- 大四企業實習
- 建置公司庫存系統 API
- MySQL 資料庫的建立與設計
- Google Cloud Platform 雲端服務的架設
- 綠界金流的串接
- 網域 DNS 管理
https://ithelp.ithome.com.tw/users/20107247/ironman/1312
https://andy6804tw.gitbooks.io/restful-api/content/
成就
- 2020/04~2020/06 網頁外包, 震泰自動化科技股份有限公司網頁前端
- 2020/10~2022/01 康廸薾戶外, Android 人工智慧魚尺辨識開發
- Android APP 影像辨識開發
- TensorFlow & TFLite
- 2021/01~Now Cupoy AI 業界專家群
- 技術演講、機器學習百日馬拉松
演講
- 2019/10/18 台灣人工智慧小聚@台南 傳統AI遇見現代AI
- 2020/01/16 台灣人工智慧小聚@台南 動手做一個機器學習API
- 2020/03/20 台灣人工智慧小聚@台南 免費雲端Jupyter Notebook
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