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Data Engineer @TSMC 台積電
2022 ~ Present
資料分析師、演算法工程師、軟體工程師、軟體專案管理
Within one month
Backend Development
NLP
Python
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立中央大學 National Central University
網路學習科技研究所
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Avatar of the user.
Data Scientist/NLP Engineer @Entercoms
2019 ~ Present
Data Scientist/NLP Engineer
More than one year
Positive Attitude
Comprehensive
Hard Working
Full-time / Interested in working remotely
4-6 years
Pune University
M.E IT
Avatar of 廖昱程.
Avatar of 廖昱程.
Customer Engineer @iKala 愛卡拉互動媒體股份有限公司
2022 ~ Present
Within two months
Migo Yu-Cheng Liao NLP Engineer & Software Engineer | Interested in Sentiment Analysis and Social Computing Taipei,Taiwan [email protected] Work Experiences Naturint., NLP Scientist/Sr. Software Engineer, June/2018 – Present •Introduced and optimized the NLU model for our virtual assistant. •Responsible for content design, NLU model, data analysis, and UX optimization. •Executed NTD 20 million AI solution, which is the first virtual assistant by ChatBot in the aviation industry in Taiwan and it was released in September•Performed analysis and in-depth reviews of virtual assistants to improve product and troubleshooting
nlp machine learning
+python
AI & Machine Learning
Employed
Full-time
4-6 years
國立中央大學
認知與神經科學所
Avatar of the user.
Avatar of the user.
Lead Software Engineer @Auralabs
2023 ~ Present
Project Lead / Tech Lead / Team Lead / Technical Manager
Within three months
React.js
TypeScript
AWS
Employed
Full-time / Interested in working remotely
4-6 years
Hong Kong Baptist University
Computer Science
Avatar of Lewis Chang.
Avatar of Lewis Chang.
Senior Backend Engineer @Appier 沛星互動科技
2022 ~ Present
軟體工程師
Within one month
QA, etc.) - Coached junior developers for both onboarding and enhancing code quality. - Introduced typing system by Typescript for better maintainability. - Migrated frontend framework from AngularJS to Angular. Software Engineer • AI4quant MaySepUsed NLP model and image processing help E-Commerce client to eliminate duplicate products. - Assessed NLP models for time series data. - Studied the state-of-the-art DL models like Efficient-Net, Transformer-XL. - Built a mobile app to receive data from various wearable devices via blue-tooth connection for monitoring user's health condition by DL models. AI Algorithm Development Engineer
Python
Backend Development
Frontend Development
Employed
Not open to opportunities
Full-time
4-6 years
National Central University
Department of Optics and Photonics
Avatar of 黃竫玟.
Avatar of 黃竫玟.
Past
Project Leader @Akatsuki Taiwan Inc
2018 ~ 2021
Project Manager、PM、專案經理、UX、網站企劃、產品企劃
More than one year
Inc MarOctTaipei, Taiwan Experienced with lead game designer. Design suitable campaign contents for users, make optimizing proposals , debug release version/content. Use Jira to track bug situations, Unity for adjusting game proposals and debugging. Use Github & Sourcetree for modifying game content data. Linguist of Chinese NLP Sinequa JunDecParis, France Linguistic Engineer Improve B2B search engine performance in Traditional Chinese. Enlarge vocabulary database . Chinese Teacher Rencontre et Culture France Asiatique Association (RCFA) SepJun 2014 Paris, France Teach high school students how to write and read Traditional Chinese. Make suitable teaching contents. EducationInstitut
Public Speaking
Leadership
Research
Unemployed
Full-time / Interested in working remotely
4-6 years
Institut national des langues et civilisations orientales
Natural Language Processing
Avatar of 李慕全(MuChuan Li).
Avatar of 李慕全(MuChuan Li).
Past
Service Provider @Taron Solutions Limited
2023 ~ 2023
AI工程師、機器學習工程師、電腦視覺工程師、資料科學家、Machine Learning Engineer、Computer Vision Engineer、Data Scientist
Within one month
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
Machine Learning
Computer Vision
Pytorch/Tensorflow
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺北科技大學
資訊工程
Avatar of Patrick Hsu.
Avatar of Patrick Hsu.
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
2021 ~ Present
Software Engineer
Within one month
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
Python
AI & Machine Learning
Image Processing
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
生物產業機電工程所
Avatar of 謝明翰.
Avatar of 謝明翰.
Past
後端工程師 @Canner (易開科技)
2023 ~ 2024
Senior Backend Engineer
Within one month
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
Node.js / Express.js
Git-flow
Golang
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
東海大學 Tunghai University
資訊工程
Avatar of 宋浩茹 Ellie Sung.
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
Within one month
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
Python
R
Natural Language Processing (NLP)
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學(National Chengchi University)
資訊科學系

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More than one year
Data engineer
台積電
2020 ~ Present
台灣新竹市
Professional Background
Current status
Employed
Job Search Progress
Not open to opportunities
Professions
Data Engineer
Fields of Employment
Semiconductor
Work experience
1-2 years
Management
Skills
Python
R
Linux
git
Pyspark
MySQL
Languages
English
Fluent
Job search preferences
Positions
Data Scientist, Deep learning Scientist
Job types
Full-time
Locations
台灣新竹市
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
清華大學
Major
工業工程與工程管理
Print
Szqkzixeivrqeehvwxdp

林聖凱 Sheng-Kai Lin

約兩年多的資料分析與機器學習專案經驗,且有將專案產品化及跨部門合作經驗,喜歡自我學習與分享交流,在專案執行與學習的過程中總結出「資料是行為與過程的紀錄,演算法是分析與歸納的工具,結果解釋與應用才是數據分析的根本價值」的心得

學歷

清華大學, 碩士, 工業工程與工程管理學系, 2018 ~ 2020

  • 決策分析研究室 (指導教授: 簡禎富 講座教授)
  • 助教經歷: 決策分析(EMBA, 107上), 電子商務網站管理(107下), 大數據與決策分析(AIMS在職班, 108上), AIMS 課程總助教 (108下)

政治大學, 學士, 應用數學系/數理財務學分學程, 2012 ~ 2016

工作經歷

台灣美光記憶體股份有限公司, QE Big Data Team Intern, Jul 2019 ~ Aug 2019

  • 預測性維修: 廠務CVD管的維修預測模型, 採用氣壓感測器資料, 提取時間序列特徵建立 boosting model, 可提前3~5天偵測到氣壓下降之問題
  • 虛擬量測: 晶圓線寬的虛擬量測模型, 採用FDC資料, 利用 embedding 和 convolution layer 建立 Neural Network model (自建loss function)
  • 獲得2020預聘資格

漢翔航空工業, 生產處 實習生, Jul 2018 ~ Aug 2018

  • 參數優化: CNC工具機效率優化模型, 採用主軸電流及震動資料, 利用ensemble model 建立製程預測模型用於優化製程參數,提升銑銷效率8~20%

科技部人工智慧製造系統(AIMS)研究中心, 研究助理, Feb 2018 ~ Aug 2018

  • 需求預測: 半導體元件供應商的需求預測模型, 利用庫存及歷史需求等建立7個預測模型, 並採用DQN model作動態模型選擇

學術研究


國際期刊與研討會發表
  • Chien, Chen-Fu, Lin, Yun Siang, & Lin, Sheng-Kai. Deep reinforcement learning for selecting demand forecast models and an empirical study for a semiconductor component distributor, International Journal of Production Research. https://doi.org/10.1080/00207543.2020.1733125

  • Sheng-Kai Lin, Wenhan Fu, Yun-Siang Lin, & Chen-Fu Chien. Generative adversarial network with autoencoder for semiconductor demand forecast to empower industry 3.5, Proceedings of International Conference on Computers and Industrial Engineering (CIE49), Beijing, China, 18-21 Oct

  • 傅文翰、簡如謙、林聖凱、簡禎富(2018), 「數據驅動之電子供應商管理庫存需求風險分析」, 第十一屆粵港澳大灣區博士生南山學術論壇暨第九屆兩岸清華研究生學術論壇,6月10 - 13日, 深圳,中國。 (論文三等獎)

國內研討會發表
  • 基於集成學習與感測器建構工具機銑削效率優化模式-以航太製造業為例, 中國工業工程學會年會暨學術研討會, 2019
  • 以消費者視角應用紫式AHP架構於電子商務技術重要程度評估, 第二十一屆決策分析研討會, 2019
  • A Demo of Stability of Numerical Parabolic PDE by IPython Notebook, 第三屆台灣工業與應用數學會年會, 2015

程式技能                                                          個人程式作品


  • 分析與自動化: 
    • Python (通過 LinkedIn Skill Assessments)
    • R
    • Spark (PySpark) 
    • MySQL 
  • 其他: 
    • Git
    • Docker


  • Auto gaming - 數獨 (Backtracking Algorithm)
  • Auto gaming - 2048 (selenium)
  • Web Scraping - 博客來書籍爬蟲 (BeautifulSoup)
  • NLP - Chatbot 1 (intent based)
  • NLP - Chatbot 2 (LSTM)
  • NLP - 語句情緒分類 (LSTM)
  • CV - Cifar10 (CNN)
  • CV - 影像分割含分類 (Mask R-CNN)
  • Recommendation - 電影推薦系統 (PySpark)

競賽成果


  • 2019未來科技展AI大數據分析之工具機效率提升系統           身分: 發明人                              成績: 未來科技突破獎
  • 2019中華郵政大數據競賽                                                              身分: 隊長                                  成績: 優等獎
  • TBrain趨勢科技-旅遊訂單成行預測                                            隊伍名稱: DALab                     成績: Top 5%(43/733) 
  • 2018全國智慧製造大數據分析競賽(新創與研究機構組)        隊伍名稱: DALab                     成績: 第二名 
  • Future Finance and Healthcare Hackathon @INFORMS 隊伍名稱: Half Fresh Water 成績: 複賽

Paragraph image 05 00@2x
Paragraph image 05 01@2x

2019未來科技展

AI大數據分析之工具機效率提升系統


主要貢獻

    專案主要執行人,於工具機上加裝電流感測器,並建立主軸電流預測及參數優化模型,同時將資料即時收取存於SQLite以利串接網頁

相關技術

  • Python (main model)
  • SQLite (Database)
  • C# (Sensor api)

2019中華郵政大數據競賽

AI智慧郵政


主要貢獻

專案主要執行人,提案中的兩大主題: 1.需求預測採用LSTM預測各地區郵務之需求量,2. 特約客戶方案推薦使用ALS model,最後透過Power BI進行圖表及結果展示 

相關技術

  • Python
  • R
  • Power BI


Paragraph image 04 00@2x
Paragraph image 04 01@2x
Resume
Profile
Szqkzixeivrqeehvwxdp

林聖凱 Sheng-Kai Lin

約兩年多的資料分析與機器學習專案經驗,且有將專案產品化及跨部門合作經驗,喜歡自我學習與分享交流,在專案執行與學習的過程中總結出「資料是行為與過程的紀錄,演算法是分析與歸納的工具,結果解釋與應用才是數據分析的根本價值」的心得

學歷

清華大學, 碩士, 工業工程與工程管理學系, 2018 ~ 2020

  • 決策分析研究室 (指導教授: 簡禎富 講座教授)
  • 助教經歷: 決策分析(EMBA, 107上), 電子商務網站管理(107下), 大數據與決策分析(AIMS在職班, 108上), AIMS 課程總助教 (108下)

政治大學, 學士, 應用數學系/數理財務學分學程, 2012 ~ 2016

工作經歷

台灣美光記憶體股份有限公司, QE Big Data Team Intern, Jul 2019 ~ Aug 2019

  • 預測性維修: 廠務CVD管的維修預測模型, 採用氣壓感測器資料, 提取時間序列特徵建立 boosting model, 可提前3~5天偵測到氣壓下降之問題
  • 虛擬量測: 晶圓線寬的虛擬量測模型, 採用FDC資料, 利用 embedding 和 convolution layer 建立 Neural Network model (自建loss function)
  • 獲得2020預聘資格

漢翔航空工業, 生產處 實習生, Jul 2018 ~ Aug 2018

  • 參數優化: CNC工具機效率優化模型, 採用主軸電流及震動資料, 利用ensemble model 建立製程預測模型用於優化製程參數,提升銑銷效率8~20%

科技部人工智慧製造系統(AIMS)研究中心, 研究助理, Feb 2018 ~ Aug 2018

  • 需求預測: 半導體元件供應商的需求預測模型, 利用庫存及歷史需求等建立7個預測模型, 並採用DQN model作動態模型選擇

學術研究


國際期刊與研討會發表
  • Chien, Chen-Fu, Lin, Yun Siang, & Lin, Sheng-Kai. Deep reinforcement learning for selecting demand forecast models and an empirical study for a semiconductor component distributor, International Journal of Production Research. https://doi.org/10.1080/00207543.2020.1733125

  • Sheng-Kai Lin, Wenhan Fu, Yun-Siang Lin, & Chen-Fu Chien. Generative adversarial network with autoencoder for semiconductor demand forecast to empower industry 3.5, Proceedings of International Conference on Computers and Industrial Engineering (CIE49), Beijing, China, 18-21 Oct

  • 傅文翰、簡如謙、林聖凱、簡禎富(2018), 「數據驅動之電子供應商管理庫存需求風險分析」, 第十一屆粵港澳大灣區博士生南山學術論壇暨第九屆兩岸清華研究生學術論壇,6月10 - 13日, 深圳,中國。 (論文三等獎)

國內研討會發表
  • 基於集成學習與感測器建構工具機銑削效率優化模式-以航太製造業為例, 中國工業工程學會年會暨學術研討會, 2019
  • 以消費者視角應用紫式AHP架構於電子商務技術重要程度評估, 第二十一屆決策分析研討會, 2019
  • A Demo of Stability of Numerical Parabolic PDE by IPython Notebook, 第三屆台灣工業與應用數學會年會, 2015

程式技能                                                          個人程式作品


  • 分析與自動化: 
    • Python (通過 LinkedIn Skill Assessments)
    • R
    • Spark (PySpark) 
    • MySQL 
  • 其他: 
    • Git
    • Docker


  • Auto gaming - 數獨 (Backtracking Algorithm)
  • Auto gaming - 2048 (selenium)
  • Web Scraping - 博客來書籍爬蟲 (BeautifulSoup)
  • NLP - Chatbot 1 (intent based)
  • NLP - Chatbot 2 (LSTM)
  • NLP - 語句情緒分類 (LSTM)
  • CV - Cifar10 (CNN)
  • CV - 影像分割含分類 (Mask R-CNN)
  • Recommendation - 電影推薦系統 (PySpark)

競賽成果


  • 2019未來科技展AI大數據分析之工具機效率提升系統           身分: 發明人                              成績: 未來科技突破獎
  • 2019中華郵政大數據競賽                                                              身分: 隊長                                  成績: 優等獎
  • TBrain趨勢科技-旅遊訂單成行預測                                            隊伍名稱: DALab                     成績: Top 5%(43/733) 
  • 2018全國智慧製造大數據分析競賽(新創與研究機構組)        隊伍名稱: DALab                     成績: 第二名 
  • Future Finance and Healthcare Hackathon @INFORMS 隊伍名稱: Half Fresh Water 成績: 複賽

Paragraph image 05 00@2x
Paragraph image 05 01@2x

2019未來科技展

AI大數據分析之工具機效率提升系統


主要貢獻

    專案主要執行人,於工具機上加裝電流感測器,並建立主軸電流預測及參數優化模型,同時將資料即時收取存於SQLite以利串接網頁

相關技術

  • Python (main model)
  • SQLite (Database)
  • C# (Sensor api)

2019中華郵政大數據競賽

AI智慧郵政


主要貢獻

專案主要執行人,提案中的兩大主題: 1.需求預測採用LSTM預測各地區郵務之需求量,2. 特約客戶方案推薦使用ALS model,最後透過Power BI進行圖表及結果展示 

相關技術

  • Python
  • R
  • Power BI


Paragraph image 04 00@2x
Paragraph image 04 01@2x