CakeResume 找人才
进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
清華大學
・
動力機械工程學系
Director, Lab of next-generation sequencing @Stork Fertility Center2018 ~ 现在
・
RD
三個月內
檢驗資料庫: 自動化LIS 2019 KPI系統: 胚胎實驗室、分生實驗室 2018 臨床資料庫: 電子化 醫學發表 https://orcid.org/臨床療程 Using an Interpretable Machine Learning Model to Predict Corifollitropin Alfa Protocol. Fertility & Reproduction. 2023;5:Lai HH, Kuo EE, Li RS, Chuang TH , Huang YC, Hsieh JY, Chang TA, Huang YL, Hsieh WT, Su YR, and Liu M. (醫療AI模型) A Patient Friendly Corifollitropin Alfa Protocol without
就职中
・
目前会考虑了解新的机会
全职 / 暂不考虑远端工作
10 到 15 年
National Taiwan University
・
canditate, Graduate institute of Clinical medicine
副教授 @福建省福州市外語外貿學院2024 ~ 现在
・
專案管理
一個月內
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
就职中
・
目前会考虑了解新的机会
兼职 / 对远端工作有兴趣
15 年以上
國立高雄科技大學(原國立高雄應用科技大學)
・
電機工程
Software Engineer / Backend Engineer
三個月內
薦中原夜市美食為例 大學 中原大學 資訊工程學系 專題: Android 能源管理機制 - 獲得當年度中原大學專題競賽第一名 線上課程 Machine Learning by Prof. Andrew Ng in Coursera 作品 鄉民查水表：整合 Ptt 使用者資訊，快速查 IP、近期發推文及分身帳號 iOS App 開發 - TaiMall台茂購物中心 技
待业中
全职 / 对远端工作有兴趣
6 到 10 年
中原大學 Chung Yuan Christian University
・
資訊工程學系就职中
全职 / 对远端工作有兴趣
6 到 10 年
國立陽明大學 National Yang Ming University
・
生物醫學資訊
Senior Data Engineer @Garena2021 ~ 现在
・
Data engineer
一年內
Aiden Wu Data Engineer / Machine Learning Engineer Taipei, Taiwan • Enthusiastic software developer: focus on distributed systems, especially Hadoop ecosystem • Experience in data engineering: develop batch and real-time data pipelines with an average of TBs per month via Spark and Airflow • Experience in machine learning: develop machine learning (ML) and deep learning (DL) models while providing services on RESTful API https://www.slideshare.net/ssuserf88631/presentations 工作經歷 Senior Data Engineer • Garena 八月Present • Build and manage self-distributed systems (e.g., Hadoop, Spark, and Kafka Cluster) • Design
就职中
全职 / 对远端工作有兴趣
4 到 6 年
National Cheng Kung University
・
Department of Electrical Engineering就学中
Intern / 暂不考虑远端工作
4 到 6 年
BISE LAHORE BOARD
・
Metric 
service engineer @Melchers Viet Nam Limited2018 ~ 现在
・
Field Service Engineer
一個月內
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
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
Trường Cao Đẳng Cao Thắng
・
Điện tử最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
专业背景
目前状态
就职中
求职阶段
专业
机器学习工程师
产业
人工智能 / 机器学习, 大数据, 软件即服务 / 云服务
工作年资
2 到 4 年
管理经历
无
技能
语言能力
Chinese
・
母语或双语
English
・
中阶
求职偏好
希望获得的职位
Data Scientist/Machine Learning Engineer
预期工作模式
全职
期望的工作地点
Taiwan, Taipei, Taiwan, Hsinchu, 新竹市台灣, Taoyuan, 桃園區桃園市台灣, New Taipei City, Taiwan
远端工作意愿
对远端工作有兴趣
接案服务
否
学历
学校
國立臺北大學
主修科系
統計研究所
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
- 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
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
- 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