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博士後研究員 @洛桑大學神經發育疾病實驗室
2023 ~ 2023
Data Scientist, Data Analyst, Machine Learning Engineer
En un mes
Data Science
Data Analysis
Machine Learning
Desempleado
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A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
洛桑聯邦理工學院(EPFL)
神經科學
Avatar of 江易倫.
Avatar of 江易倫.
Past
Career transition @Career Break
2024 ~ 2024
NLP Engineer / Data Scientist / Machine Learning Engineer
En un mes
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
Python
SQL
NLP
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De 4 a 6 años
National Chengchi University
資訊科學系
Avatar of 邱義塵.
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Past
Data Engineer @Rooit Inc. (XO App)
2023 ~ 2023
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
En un mes
邱義塵 於獨角獸多媒體設計有限公司擔任 遊戲測試工程師一職 建立公司測試團隊的測試流程和撰寫自動化測試程式 SDET、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 城市,TW [email protected] 工作經歷 獨角獸多媒體
Python
Data Analysis
Data Science
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6-10 años
中國醫藥大學(China Medical University)
臨床醫學研究所
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智慧製造全端開發工程師 @聯華電子股份有限公司
2022 ~ Presente
AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Ai Application Engineer,Machine Learning Engineer,Deep Learning Engineer,Data Scientist
En un mes
潘揚燊 ㄕㄣ Shen Pan Kaohsiung City,Taiwan •  [email protected] 希望職務:人工智慧、機器視覺應用開發工程師 現任 : 聯華電子 RPA 平台全端開發工程師 您好,我是潘揚燊,目前任職於 聯華電子 , 擔任 智慧製造 全端開發工程師 , 畢業於元智大學工業工程與管理學系研
Python
Qt
Git
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De 4 a 6 años
元智大學 Yuan Ze University
工業工程與管理學系所
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Senior engineer @Chicony Electronics Co, Ltd.
2018 ~ Presente
全端工程師、後端工程師、前端工程師、軟體專案主管、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
En un mes
Python
C
C++
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6-10 años
National Taiwan Ocean University
Computer science and engineering
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Avatar of Patrick Hsu.
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
2021 ~ Presente
Software Engineer
En un mes
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
Empleado
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De 4 a 6 años
國立台灣大學
生物產業機電工程所
Avatar of 王文祥.
Avatar of 王文祥.
經理 @鴻博資訊有限公司
2015 ~ Presente
軟體工程師、電玩程式設計師、後端工程師、APP開發工程師、演算法開發工程師
En un mes
technologies such as OpenCV, Scikit-Image, scikit-learn, NumPy, Matplotlib, PyQt5, etc., to implement various functionalities. Additionally, I possess the ability to develop mobile applications using Django and React Native. I am proficient in using testing frameworks, GitHub for version control, and Docker for deployment. . Machine Learning and Deep Learning Here is a summary of the relevant technologies in the field of machine learning that I have researched and become familiar with over the past year: Numpy (Numerical Computing Library) : Numpy is one of the core libraries for numerical computing in Python. It provides
Python
AOI
MES
Empleado
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A tiempo completo / Sólo a distancia
10-15 años
崑工科技大學
電子工程
Avatar of 陳郁夫.
Avatar of 陳郁夫.
Senior Software Engineer & Feature Product Manager @聯發科
2022 ~ Presente
資深軟體工程師
En un mes
. I'm responsible for software architecture, development, and design in the multi-camera domain, with a primary focus on cinematic mode and open-platform-related development and planning. During my time pursuing a Master's degree in Information Management at National Chiao Tung University, I delved into deep learning and its applications in finance. My research culminated in a thesis on multi-modal deep learning for semantic models in stock trading strategies. Throughout my graduate studies, I actively participated in various competitions and received accolades for my contributions." 現任職於聯發科
C++
Python
Machine Learning
Empleado
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A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
國立師範大學附屬高級中學
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Past
Senior Software Engineer @上海赛厨网络科技有限公司
2016 ~ 2024
React Native Mobile App Developer
En un mes
React Native Web
React Native App
TypeScript and ReactJS
Desempleado
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A tiempo completo / Interesado en trabajar a distancia
6-10 años
赣南师范大学
计算机科学与技术
Avatar of Shammi HSIEH.
Avatar of Shammi HSIEH.
資訊人員 @新北市淡水區公所
2023 ~ Presente
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
En un mes
謝慧珊 目前就職於公家機關擔任資訊人員,熱愛閱讀與寫作, 即將於致理科技大學進修商務智慧與創新科技研究所碩士班, 研究範圍為AI創新科技領域。 個性情感充沛並且喜歡觀察人群與反思,勇於接受挑戰。 座右銘: 樂觀積極,感恩惜福 www.shammixxd159
office
Python
WordPress
Empleado
Abierto a oportunidades
A tiempo completo / Sólo a distancia
10-15 años
致理科技大學
資訊管理系

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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
Job search preferences
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