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類神經網路股份有限公司
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Sr. Full Stack Engineer @類神經網路股份有限公司
・
2021 ~ Sekarang
資深程式設計師
Dalam satu bulan
Android
Windows
Linux
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
輔仁大學 Fu Jen Catholic University
・
Computer Science and Information Engineering
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黃偉
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Chief Engineer @類神經網路股份有限公司
・
2018 ~ Sekarang
全端工程師
Dalam satu bulan
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
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高鈺傑
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資深前端工程師 @比房科技
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2022 ~ 2024
Frontend developer.
Dalam satu bulan
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
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4-6 tahun
暨南大學
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電機工程
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專業副理 @元大銀行
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2023 ~ Sekarang
PM/產品經理/專案經理/商業分析師/決策分析師
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data stage etl tool
python programming
PMP國際專案管理師證照
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國立台灣師範大學 National Taiwan Normal University
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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
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2022 ~ 2023
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6-10 tahun
National Taiwan University
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資訊工程
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Wang J.Y
Web/Backend Engineer @元大投信
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2021 ~ 2023
工程師、副理
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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
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國立台北教育大學
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資訊科學, 類神經網路研究
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Scrum Master / 專案經理 / 工程部主管 @恩克斯網路科技股份有限公司
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2016 ~ 2019
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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
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Computer Science

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Dalam satu tahun
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Machine Learning Engineer
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CloudMile 萬里雲
・
2021 ~ Sekarang
Taiwan, 台灣
Latar Belakang Profesional
Status sekarang
Sudah bekerja
Tahap pencarian kerja
Profesi
Machine Learning Engineer
Bidang Pekerjaan
Intelegensi Artifisial/Pemelajaran Mesin, Big Data, Saas / Cloud Services
Pengalaman Kerja
2-4 tahun
Management
Tidak ada
Keterampilan
Python
R
pytorch tensorflow
Django(Python)
JavaScript
Linux
PowerPoint
Word
Excel
Bahasa
Chinese
・
Bahasa ibu atau Bilingual
English
・
Menengah
Preferensi Pencarian Pekerjaan
Jabatan
Data Scientist/Machine Learning Engineer
Tipe Pekerjaan
Full-time
Lokasi
Taiwan, Taipei, Taiwan, Hsinchu, 新竹市台灣, Taoyuan, 桃園區桃園市台灣, New Taipei City, Taiwan
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Tertarik bekerja jarak jauh
Freelance
Tidak
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Institusi Pendidikan
國立臺北大學
Jurusan
統計研究所
Cetak

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
CV
Profil
Cetak

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