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Sr. Full Stack Engineer @類神經網路股份有限公司
2021 ~ Hiện tại
資深程式設計師
Trong vòng một tháng
Android
Windows
Linux
Đã có việc làm
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
輔仁大學 Fu Jen Catholic University
Computer Science and Information Engineering
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Chief Engineer @類神經網路股份有限公司
2018 ~ Hiện tại
全端工程師
Trong vòng một tháng
GTM 、 GA4 數據收集應用。 建置適用於各式專案 Angular 的 npm 套件。 協作 NPM (能製作 package) GitHub Postman (製作 Restful API 及 gRPC 文件) Sketch Notion Trello Slack Miro 工作經歷 Chief Engineer 類神經網路股份有限公司 • 三月Present 以開發 LINE Chatbot 產品平台為主,主導架構及技術選型,系統在兼顧雲端成本的同時以大流量
Angular
Node.js / Express.js
GCP
Đã có việc làm
Quan tâm đến làm việc từ xa
10-15 năm
Avatar of 高鈺傑.
Avatar of 高鈺傑.
Past
資深前端工程師 @比房科技
2022 ~ 2024
Frontend developer.
Trong vòng một tháng
尋找客戶、定價議價、三方合作、交付與後續維護。 技術使用:React, Next.js, Firebase, Vercel, tRPC, Prisma, PlanetScale, Supabase, Github Pages, Rollup.js, GraphQL 全端工程師(偏前端) 妞時尚股份有限公司 六月九月 2020 Taipei, Taiwan 獨立完成十多個網站專案,運用RWD與設計原則與設計師協作產生令人滿意的結果;製作企
Frontend
Backend
Product
Thất nghiệp
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
暨南大學
電機工程
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專業副理 @元大銀行
2023 ~ Hiện tại
PM/產品經理/專案經理/商業分析師/決策分析師
Trong vòng một tháng
data stage etl tool
python programming
PMP國際專案管理師證照
Đã có việc làm
Bật trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
國立台灣師範大學 National Taiwan Normal University
教育心理與輔導學系測驗科技組博士班
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高級工程師 @關網資訊股份有限公司
2022 ~ 2023
Senior PHP engineer
Trong vòng một tháng
PHP development
MySQL database design
Laravel Framework
Đã có việc làm
Tắt trạng thái tìm việc
Full-time / Không quan tâm đến làm việc từ xa
6-10 năm
National Taiwan University
資訊工程
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Avatar of Wang J.Y.
Web/Backend Engineer @元大投信
2021 ~ 2023
工程師、副理
Trong vòng sáu tháng
王 靖 瑤 [email protected] Taipei City, Taiwan Education 國立臺北教育大學/資訊科學所, SepJul 2019 主修:機器學習、趨勢預測、神經網路 南台科技大學/資訊管理學系, SepJun 2009 副修:AutoCad機械繪圖、醫學影像製作、軟體工程學程、CERPS證照研修 Experience 投資信託股份有限公司, MayPresent 職位:網站程式設
C# ASP.NET
c# windows form
Python
Đã có việc làm
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
國立台北教育大學
資訊科學, 類神經網路研究
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Avatar of 鄒本然.
Scrum Master / 專案經理 / 工程部主管 @恩克斯網路科技股份有限公司
2016 ~ 2019
Product Manager
Trong vòng một năm
資料結構、數值分析 積極參與系上活動,包含系學會、迎新宿營、松樹營(暑期營隊),也參與桌球校隊。 工作經歷 恩克斯網路科技股份有限公司, Scrum Master / 專案經理 / 工程部主管, Oct 2016 ~ Nov 2019 產品開發流程 / 團隊管理 / 跨職能溝通協調 擔任 Scrum Master,引導開發
Agile Project Management
Computer Science
Web Development
Đã có việc làm
Tắt trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
國立交通大學(National Chiao Tung University)
Computer Science

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Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
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Trong vòng một năm
Machine Learning Engineer
Logo of CloudMile 萬里雲.
CloudMile 萬里雲
2021 ~ Hiện tại
Taiwan, 台灣
Professional Background
Tình trạng hiện tại
Đã có việc làm
Tiến trình tìm việc
Professions
Machine Learning Engineer
Fields of Employment
Trí tuệ nhân tạo/ Máy học, Big Data, SaaS/ Điện toán đám mây
Kinh nghiệm làm việc
2-4 năm
Management
Chưa có
Kỹ năng
Python
R
pytorch tensorflow
Django(Python)
JavaScript
Linux
PowerPoint
Word
Excel
Ngôn ngữ
Chinese
Bản địa hoặc song ngữ
English
Trung cấp
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Vị trí
Data Scientist/Machine Learning Engineer
Loại hình công việc
Full-time
Địa điểm
Taiwan, Taipei, Taiwan, Hsinchu, 新竹市台灣, Taoyuan, 桃園區桃園市台灣, New Taipei City, Taiwan
Làm việc từ xa
Quan tâm đến làm việc từ xa
Freelance
Không.
Học vấn
Trường học
國立臺北大學
Chuyên ngành
統計研究所
In

Jerry Hsu

I am a passionate learner and always encourage myself to explore the possibilities of journey in my life.

Machine Learning Engineer
Taipei City | Taiwan

[email protected]

  • National Taipei University | Master degree in statistics | 2017/09 - 2020/02 
  • National Sun Yat-sen University | Bachelor degree in mathematics | 2012/09 - 2016/06

Work Experience

CloudMile Inc. | Machine Learning Engineer | 2021/12 ~ Current | Taipei City

  • Took charge in Hsinchu's Bigcity PLTV Precision Marketing project in the feature engineering and modeling
    • Designed the retail related features and Machine Learning model. 
    • Developed the tree-based model in Python achieving 80% accuracy in classification task and 10% Decile-level MAPE in regression task. 
    • Collaborated with Data Engineer to complete the CDP platform by pandas and Looker studio. 
  • Co-lead with Solution Architect and Sales teams to deal with the pain points from overall clients 
    • Co-lead with Solution Architect and Sales in the project which was still in the business development stage and designed the Machine Learning solution in POC.
    • Implemented the Machine Learning Solution in the POC (Proof of Concept) stage by Vertex AI
  • Took the lead on the recommendation system’s internal project with 4 Machine Learning Engineers. 
    • Worked on the papers study and continued sharing among the ML team. 
  • Retrained GPT-2 model to replace the original model in the company’s product. (Still in the progress) 

Academia Sinica CITI | Research Assistant | 2020/02 ~ 2021/12

  • Reorganized and enhanced Automatic DJ system
    • Proposed deep learning model surpassed the State of the Art model in the EDM subgenre classification task about 5% - 10% (Research Link) 
    • Refined the music structure annotation part to enable Automatic Disk Jockey System has ability to classify the segments of Electronic Dance Music into 6 different music structures. 
    • Converted the whole Automatic Disk Jockey System from Python 2 to Python 3.  
  • Contributed 2 AIDJ related researches in the AIDJ project (ICASSP, ISMIR)
    • B.-Y. Chen, W.-H. Hsu, W.-H. Liao, M. A. M. Ram´ırez, Y. Mitsufuji, Y.-H. Yang, “Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks,” presented at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)
    • A. Ramires et al., “The Freesound Loop Dataset and annotation tool,” in Proc. Int. Soc. Music Information Retrieval Conf., 2020 

Skill & Certifications


Machine Learning skills

  • Deep Learning (CNN, RNN, NN)
  • Tree-based Model
  • Music auto-tagging
  • Predicted customer lifetime value
  • Tabular data


Tools

  • Python, R, SAS
  • Numpy, Pandas, Scikit-learn
  • GCP Vertex AI, AutoML
  • Git, Airflow

Certrification

  • Google Cloud Professional Machine Learning Engineer
  • Google Cloud Professional Data Engineer
Resume
Hồ sơ của tôi

Jerry Hsu

I am a passionate learner and always encourage myself to explore the possibilities of journey in my life.

Machine Learning Engineer
Taipei City | Taiwan

[email protected]

  • National Taipei University | Master degree in statistics | 2017/09 - 2020/02 
  • National Sun Yat-sen University | Bachelor degree in mathematics | 2012/09 - 2016/06

Work Experience

CloudMile Inc. | Machine Learning Engineer | 2021/12 ~ Current | Taipei City

  • Took charge in Hsinchu's Bigcity PLTV Precision Marketing project in the feature engineering and modeling
    • Designed the retail related features and Machine Learning model. 
    • Developed the tree-based model in Python achieving 80% accuracy in classification task and 10% Decile-level MAPE in regression task. 
    • Collaborated with Data Engineer to complete the CDP platform by pandas and Looker studio. 
  • Co-lead with Solution Architect and Sales teams to deal with the pain points from overall clients 
    • Co-lead with Solution Architect and Sales in the project which was still in the business development stage and designed the Machine Learning solution in POC.
    • Implemented the Machine Learning Solution in the POC (Proof of Concept) stage by Vertex AI
  • Took the lead on the recommendation system’s internal project with 4 Machine Learning Engineers. 
    • Worked on the papers study and continued sharing among the ML team. 
  • Retrained GPT-2 model to replace the original model in the company’s product. (Still in the progress) 

Academia Sinica CITI | Research Assistant | 2020/02 ~ 2021/12

  • Reorganized and enhanced Automatic DJ system
    • Proposed deep learning model surpassed the State of the Art model in the EDM subgenre classification task about 5% - 10% (Research Link) 
    • Refined the music structure annotation part to enable Automatic Disk Jockey System has ability to classify the segments of Electronic Dance Music into 6 different music structures. 
    • Converted the whole Automatic Disk Jockey System from Python 2 to Python 3.  
  • Contributed 2 AIDJ related researches in the AIDJ project (ICASSP, ISMIR)
    • B.-Y. Chen, W.-H. Hsu, W.-H. Liao, M. A. M. Ram´ırez, Y. Mitsufuji, Y.-H. Yang, “Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks,” presented at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)
    • A. Ramires et al., “The Freesound Loop Dataset and annotation tool,” in Proc. Int. Soc. Music Information Retrieval Conf., 2020 

Skill & Certifications


Machine Learning skills

  • Deep Learning (CNN, RNN, NN)
  • Tree-based Model
  • Music auto-tagging
  • Predicted customer lifetime value
  • Tabular data


Tools

  • Python, R, SAS
  • Numpy, Pandas, Scikit-learn
  • GCP Vertex AI, AutoML
  • Git, Airflow

Certrification

  • Google Cloud Professional Machine Learning Engineer
  • Google Cloud Professional Data Engineer