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4-6 years
6-10 years
10-15 years
More than 15 years
DevSecOps工程師 @巨展數位科技2023 ~ Present
・
架構師、技術主管、DevOps(DevSecOps,DataOps,MLOps)
Within one month
Delivery ,CD)進而將軟體開發過程的活動透過自動化導入更能夠以敏捷完成。因而目前研究主題除原機器學習中的監督學習（Supervised learning）、非監督學習（unsupervised learning）、半監督學習（Semi-supervised learning）、強化學習（Reinforcement learning）。另外機器學習相關軟體工程中的DataOps與MLOps感到興趣。在持續訓練(Continuous training
Employed
・
Ready to interview
Full-time / Interested in working remotely
More than 15 years
淡江大學-資訊工程所-博士班
・
資訊工程所
資深經理 @緯創資通2021 ~ Present
・
Technical Manager
Within six months
林昭源 (Leo Lin) 1. Two years of management experience. 2. More than 10 years of computer vision and deep learning/software architecture development experience. 3. Programming experience using python. 4. Good paper reading ability and practical ability 5. Familiar with computer vision, deep learning (CNN, Resnet, densnet, GAN), object detection (Yolo series, RCNN series), segmentation models (UNet, DensUNet). 6. Experience in semi-supervised or unsupervised learning (pesudo labeling, Voxmorph model). 7. Experience with Docker, Git, Jenkins DevOps. Education: National Taiwan University of Science and
Employed
Full-time / Interested in working remotely
10-15 years
National Taiwan University of Science and Technology
・
Master's degree Computer Science and Information Engineering
Performance Analyst @Ericsson2014 ~ 2016
・
Data Scientist
Within six months
Full-time / Interested in working remotely
6-10 years
University of Southampton
・
Actuarial Science (1st class degree)
Offline
Offline
Data Engineer / Scientist @MediaTek Inc.2019 ~ Present
・
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
Within one month
工作經歷 Data Engineer / Scientist MediaTek Inc. • 2019/07 - Present 協助晶片設計 提升產品效能 透過 regression model 改善控制手機溫度控制機制，溫度 誤差 < 1C 透過 unsupervised learning 精確分貨，多救回過去誤分的 5% 高階晶片 建立 PB-level data warehouse 降低 20% 功耗 並提升手機效能 ( 14K Antutu Score ) 協助晶片開發掌握新製
Employed
Full-time / Interested in working remotely
4-6 years
National Chiao Tung University
・
Computer ScienceData Scientist | Associate Researcher @China Engineering Consultants, Inc.2020 ~ Present
・
資料分析師
More than one year
Employed
Full-time / Interested in working remotely
6-10 years
國立東華大學(National Dong Hwa University)
・
應用數學研究所Full-time / Interested in working remotely
10-15 years
Imperial College London
・
天文物理博士
Senior AI Research/Engineer (part-time) @NeuroBonic Inc.2022 ~ 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
Within one month
Processing (SciPy, Librosa), Deep Learning (PyTorch), Project Management Master's Degree, Computer Science and Engineering Education National Yang-Ming Chiao Tung University (NYCU) • JulySeptember 2023 Advisor : Dr. Vincent S. Tseng 曾新穆 (Chair professor, CSIE, NYCU.) Thesis : Self-supervised pulse-aware and interpretable disentangled ECG representation learning. Proposed a self-supervised learning framework with two-fold training efficiency compared to the existing methods. The proposed framework offers a clinically interpretable representation , a crucial aspect in clinical applications. I proactively organized a regular research study group with other lab members to progress our research
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Yang Ming Chiao Tung University
・
Computer Science
Algorithm R&D Engineer @Masterwork Aoitek Tech Corp Ltd., Taipei City, Taiwan2019 ~ 2020
・
deep learning/machine learning/computer vision/software engineer
More than one year
apply better solutions. Taipei City, Taiwan [email protected] Portfolio Skills Tech Stack Tensor Flow Android Linux Python Java Certification Coursera - Deep Learning DeepLearning.AI TensorFlow Developer Work Experience AI Engineer (Deputy Section Manager) Compal Electronics, Inc., Taipei City, Taiwan • Apr 2020 — May 2021 Machine Learning • Pixsee Baby Camera a. Face detection and attributes(age, gender, etc.) model training for the "Baby Bubble Tree" service. b. Object detection model training and image-based product recommendations. c. People search with unsupervised clustering . d. Model Interpretability and embedding visualization
Full-time / Interested in working remotely
6-10 years
National Cheng Kung University
・
Department of Industrial Information Management Institute of Information ManagementThe Most Lightweight and Effective Recruiting Plan
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Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
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Within one month
Semiconductor Advanced Process Data Engineer & Scientist
MediaTek Inc.
・
2019 ~ Present
Professional Background
Current status
Employed
Job Search Progress
Professions
Data Engineer, Data Scientist, Big Data Engineer
Fields of Employment
Big Data
Work experience
4-6 years
Management
I've had experience in managing 1-5 people
Skills
Languages
Chinese
・
Native or Bilingual
English
・
Intermediate
German
・
Beginner
Job search preferences
Positions
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
Job types
Full-time
Locations
Taipei, 台灣
Remote
Interested in working remotely
Freelance
No
Educations
School
National Chiao Tung University
Major
Computer Science
Lea Yeh / 葉美伶
現任聯發科技公司 | AI & Big Data 部門 | 半導體先進製程 | 資料科學家
業務橫跨公司成本控管及晶片開發，開發 PB-level 資料從 data integration 到 machine learning 的所有環節，能快速分析巨量資料，並從資料源頭提升 prediction model 表現。
- Data Science,
- 透過 machine learning model 改善控制手機溫度控制機制，降低溫度誤差 < 1C
- 協助晶片開發者降低 20% 功耗，提升手機效能 14K Antutu score
- 開發 BI Dashboard 分析 EDA tool 使用狀況，降低 25% 採購成本
- Data Engineer,
- 建立結構化資料和非結構化資料之 automating data pipelines
- 設計 PB-level 資料 ETL 流程並引入阿里巴巴 data warehouse 分層設計
- 建立資料品質 realtime 監控機制，資料缺失率 50% 降低到 <1%
工作經歷
Data Engineer / Scientist
MediaTek Inc. • 2019/07 - Present
協助晶片設計提升產品效能
- 透過 regression model 改善控制手機溫度控制機制，溫度誤差 < 1C
- 透過 unsupervised learning 精確分貨，多救回過去誤分的 5% 高階晶片
- 建立 PB-level data warehouse 降低 20% 功耗並提升手機效能 (14K Antutu Score)
協助晶片開發掌握新製程特性
- 透過 Plotly/Dash 進行數據分析，協助晶片開發人員縮短開發時間 50%
- 於 BigQuery 透過數倉分層設計及優化 SQL 提升 70% 效能
建立雲端分析管道
- 透過 NiFi, Airflow, Dataflow, BigQuery 設計 ETL 流程
- 在公司數位轉型初期，引入阿里巴巴數據中台理論的數據分層設計，提升資料表重用率
- 建立資料品質實時監控機制，資料缺失率 50% 降低到 <1%，每個月降低人力成本 7.5man-day
進行 EDA License 及 Computing Farm 成本控管
公司三大成本: EDA License, Computing Farm, 人力
- 透過 Splunk 建立互動式 BI Dashboard，輔助 EO 採買決策，減少 25% 採購成本
- 提升 11% 整體 EDA license 使用率，19% EDA temp license 使用率
能跨部門協調獨立作業，並帶領團隊完成專案
- 深獲合作部門肯定，於 2021 獲得 15 個跨部門 vAward
- 為公司節省巨額採購成本，於 2020 獲得 IT 年度獎
Software Engineer
MediaTek Inc. • 2016/09 - 2019/07
開發 Modem Log 相關除錯及分析工具
- 以 Vue.js 搭配 Electron 建立 World Wide Field Frial Upload Tool
- 結合 Python 及 Jenkins 開發 ICD DMS 達到自動化以文件規範實作
- 透過 AngularJS 開發 StackOverflow-like QA 平台
技能
Programming Skills
Python, SQL, SPL, NodeJS, HTMK, CSS, Git, CI/CD
- 8 年以上 Python 編程經驗，嚴格遵守 PEP8 coding style 規範，追求高效優雅 pythonic 開發
- 3 年 SQL 及 SPL 開發經驗，力求優化查詢效能
- 2 年網頁後端開發經驗，貢獻 CDNJS 大型開源專案 (9.4K stars)
Machine Learning Skills
Sklearn, Numpy, Pandas, Scipy, seaborn, shap value, xgboost, random forest, linear regression, feature engineering, high dimension clustering (fit JD key word)
Data Engineering & Analysis Skills
Airflow, NiFi, Dataflow, BigQuery, Cloud Function, Plotly/Dash, Splunk
Cloud Platform
GCP: Cloud Function, Dataflow, Composer, BigQuery
學歷
2014 - 2016
National Chiao Tung University
Computer Science - Data Mining Lab
2011 - 2014
Tatung University
Computer Science
Lea Yeh / 葉美伶
現任聯發科技公司 | AI & Big Data 部門 | 半導體先進製程 | 資料科學家
業務橫跨公司成本控管及晶片開發，開發 PB-level 資料從 data integration 到 machine learning 的所有環節，能快速分析巨量資料，並從資料源頭提升 prediction model 表現。
- Data Science,
- 透過 machine learning model 改善控制手機溫度控制機制，降低溫度誤差 < 1C
- 協助晶片開發者降低 20% 功耗，提升手機效能 14K Antutu score
- 開發 BI Dashboard 分析 EDA tool 使用狀況，降低 25% 採購成本
- Data Engineer,
- 建立結構化資料和非結構化資料之 automating data pipelines
- 設計 PB-level 資料 ETL 流程並引入阿里巴巴 data warehouse 分層設計
- 建立資料品質 realtime 監控機制，資料缺失率 50% 降低到 <1%
工作經歷
Data Engineer / Scientist
MediaTek Inc. • 2019/07 - Present
協助晶片設計提升產品效能
- 透過 regression model 改善控制手機溫度控制機制，溫度誤差 < 1C
- 透過 unsupervised learning 精確分貨，多救回過去誤分的 5% 高階晶片
- 建立 PB-level data warehouse 降低 20% 功耗並提升手機效能 (14K Antutu Score)
協助晶片開發掌握新製程特性
- 透過 Plotly/Dash 進行數據分析，協助晶片開發人員縮短開發時間 50%
- 於 BigQuery 透過數倉分層設計及優化 SQL 提升 70% 效能
建立雲端分析管道
- 透過 NiFi, Airflow, Dataflow, BigQuery 設計 ETL 流程
- 在公司數位轉型初期，引入阿里巴巴數據中台理論的數據分層設計，提升資料表重用率
- 建立資料品質實時監控機制，資料缺失率 50% 降低到 <1%，每個月降低人力成本 7.5man-day
進行 EDA License 及 Computing Farm 成本控管
公司三大成本: EDA License, Computing Farm, 人力
- 透過 Splunk 建立互動式 BI Dashboard，輔助 EO 採買決策，減少 25% 採購成本
- 提升 11% 整體 EDA license 使用率，19% EDA temp license 使用率
能跨部門協調獨立作業，並帶領團隊完成專案
- 深獲合作部門肯定，於 2021 獲得 15 個跨部門 vAward
- 為公司節省巨額採購成本，於 2020 獲得 IT 年度獎
Software Engineer
MediaTek Inc. • 2016/09 - 2019/07
開發 Modem Log 相關除錯及分析工具
- 以 Vue.js 搭配 Electron 建立 World Wide Field Frial Upload Tool
- 結合 Python 及 Jenkins 開發 ICD DMS 達到自動化以文件規範實作
- 透過 AngularJS 開發 StackOverflow-like QA 平台
技能
Programming Skills
Python, SQL, SPL, NodeJS, HTMK, CSS, Git, CI/CD
- 8 年以上 Python 編程經驗，嚴格遵守 PEP8 coding style 規範，追求高效優雅 pythonic 開發
- 3 年 SQL 及 SPL 開發經驗，力求優化查詢效能
- 2 年網頁後端開發經驗，貢獻 CDNJS 大型開源專案 (9.4K stars)
Machine Learning Skills
Sklearn, Numpy, Pandas, Scipy, seaborn, shap value, xgboost, random forest, linear regression, feature engineering, high dimension clustering (fit JD key word)
Data Engineering & Analysis Skills
Airflow, NiFi, Dataflow, BigQuery, Cloud Function, Plotly/Dash, Splunk
Cloud Platform
GCP: Cloud Function, Dataflow, Composer, BigQuery
學歷
2014 - 2016
National Chiao Tung University
Computer Science - Data Mining Lab
2011 - 2014