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Avatar of 謝坤達.
Avatar of 謝坤達.
副教授 @福建省福州市外語外貿學院
2024 ~ Presente
專案管理
En un mes
謝坤達 1、具有多年主持研發經驗,專長智慧電網、智慧家庭及RFID、無線感測網路架構規劃等,謀求技術顧問、產品市場規劃相關職務。 2、熟悉計算機通訊、計算機語言、資安加解密等專長,並擅長規劃各種資通訊、防災應用、智慧電網應用。 專案管理 城市
Google Drive
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Más de 15 años
國立高雄科技大學(原國立高雄應用科技大學)
電機工程
Avatar of Hoàng Nguyễn.
Avatar of Hoàng Nguyễn.
service engineer @Melchers Viet Nam Limited
2018 ~ Presente
Field Service Engineer
En un mes
the basis of my knowledge, fast learning and creative skills. Thành phố Hồ Chí Minh, Việt Nam Work expericence Service engineer • Melchers Viet Nam Limited Julypresent -Installation, repair , troubleshooting ,training and commissioning machine -Have experienced in the fields of : pharmaceuticals , shoes ,roasters, laboratories . -Lead the project implementation . -Remote control from headquater . Supervisor • Hoshino company AugustMayInstallation , repair machines . -Set up machines for new production lines . -Design Jig, tooling . Technical • Nidec Copal DecemberMayRepair ,maintenance and writing program for AOI machine, Janome. EducationCollege Cao Thang Industry Electronic Certificates Desma Gmb certificate Fette compacting Gmb certificate
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6-10 años
Trường Cao Đẳng Cao Thắng
Điện tử

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En un año
Machine Learning Engineer
Logo of CloudMile 萬里雲.
CloudMile 萬里雲
2021 ~ Presente
Taiwan, 台灣
Professional Background
Situación actual
Empleado
Progreso en la búsqueda de empleo
Professions
Machine Learning Engineer
Fields of Employment
Inteligencia Artificial / Aprendizaje Automático, Big Data (datos masivos), SaaS / Servicios en la nube
Experiencia laboral
2-4 años
Management
Ninguno
Habilidades
Python
R
pytorch tensorflow
Django(Python)
JavaScript
Linux
PowerPoint
Word
Excel
Idiomas
Chinese
Nativo o bilingüe
English
Intermedio
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Posición
Data Scientist/Machine Learning Engineer
Tipo de trabajo
A tiempo completo
Ubicación
Taiwan, Taipei, Taiwan, Hsinchu, 新竹市台灣, Taoyuan, 桃園區桃園市台灣, New Taipei City, Taiwan
A distancia
Interesado en trabajar a distancia
Freelance
No.
Educación
Escuela
國立臺北大學
Mayor
統計研究所
Imprimir

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
Perfil

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