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On
4-6 years
6-10 years
10-15 years
More than 15 years
Past
Mobile App Developer @Apple Inc.2014 ~ Present
・
Lead Infrastructure Engineer
Within two months
libraries for predictive analysis of customer behavior. Designed and implemented a scalable data warehouse architecture using Apache Cassandra, PostgresDB, and Redis. Optimized database performance by tuning queries in SQL Server, Oracle and PostgreSQL databases. Implemented efficient data processing algorithms on large datasets with Apache Spark, MapReduce, and Pandas Python. Created dashboards in Tableau Desktop Professional Edition to visualize complex datasets in an interactive manner. Created custom scripts to automate the extraction, transformation, and loading of Big Data into distributed systems. Utilized Amazon Web Services components such as EMR and S3 buckets for cloud computing
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Past
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
Within one month
神經細胞追蹤分析，與藥理試驗。 2. 研究論文撰寫與國際研討會的舉辦。 技能 Data Science Data Analysis, Image Analysis, Machine Learning, Deep Learning, Statistical Analysis, Data visualization Programming Python, PyTorch, NumPy, Pandas, Matplotlib, Scikit-Learn, Git, PostgreSQL, Docker Biotechnology Neuroscience, Genetics, Imaging, Scientific Writing Soft skill Project Management, Probelm Solving, Team Player, Proactive Communication 語言 English — 專業 Chinese — 母語或雙語 French — 初階 學歷 洛桑聯邦理工學院(EPFL) 神經
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
洛桑聯邦理工學院(EPFL)
・
神經科學
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
宋浩茹 Hao-Ru Sung| [email protected] | LinkedIn ｜ GitHub A s a Research Assistant at Academia Sinica , specializing in Generative AI research and application. With 3 + years of experience in NLP a nd Machine Learning , along with 4+ years in Backend Development . Proficient at translating complex theories into practical applications. Skills Languages: Python, R, SQL, MATLAB, C, C#, JavaScript, Node.js Software & Tools: PyTorch, PyTorch Lightning, Tensorflow, Scikit-Learn, NLTK , GCP, Linux, SQL / NoSQ , Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
資訊科學系
Past
Service Provider @Taron Solutions Limited2023 ~ 2023
・
AI工程師、機器學習工程師、電腦視覺工程師、資料科學家、Machine Learning Engineer、Computer Vision Engineer、Data Scientist
Within one month
測模型 side project 使用深度學習框架(Pytorch)自行搭建預測模型，以各式台灣景氣指標當作輸入，輸出未來經濟景氣趨勢階段。 技術：Pytorch、Pandas、Numpy、 Sklearn 論文發表 • Chen, X. Z., Li, M. C. , & Chen, Y. L, January). Strategies for Helping Anchor-Based Trackers Learn re-ID Features for Smart City Surveillance. In 2024 IEEE International Conference on Consumer Electronics (ICCE) (ppIEEE. • Li
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺北科技大學
・
資訊工程
Software Engineer @日月光半導體製造股份有限公司2024 ~ Present
・
後端工程師/軟體工程師
Within one month
端工程師 緯創軟體 五月十月 2023Taipei, Taiwan 【Wafer Data Correlation專案】 比對晶圓同 product 不同批的 lot 或 wafer 間的關聯性 利用Python的 Sanic Framework 建置後端API 透過Pandas處理資料流 規劃 DB Table 間的Constraint和重構效率差之DML語法 【Defect Loader專案】 尋找 wafer 缺陷圖片＆搬運 利用Spring Boot建置 【Docker＆K8s】 1. 上述的專
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
義守大學
・
資訊管理學系
Software Engineering Section Manager @仁寶2023 ~ Present
・
Lead Designer, Senior Consultant, Design Manager
Within one month
Danny_Teng DOMAIN KNOWLEDGE -Smart wearable devices / Smart medicine -Product testing and quality assurance process improvement. -Manufacturing product test program development. -Automatic tool development. -Graphical user interface development. -Robot arm system : ABB, Rotot Studio -Interactive Control : VISA, SCPI, GPIB -Supervised learning: Data Annotation / Data Labeling -Smart manufacturing -DevOps TECHNICALS SKILLS -Python / PyQt / Pandas / Openpyxl / PyVisa / Pywinauto / Crawler / FastAPI -VUE.js / PostgreSQL / Linux / Prestd / Docker / JavaScript -ABB Robot / Robot Studio / RAPID Taipei, Taiwan 工作經歷 Software Engineering Section
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taipei University of Technology
・
電機系
Product Manager @東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)2023 ~ 2023
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學 National Cheng Kung University
・
Mechanical EngineeringPast
Senior Firmware Engineer @Artesyn Embedded Technologies2019 ~ 2022
・
韌體工程師/軟體工程師/控制工程師/演算法工程師/
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
日本電氣通信大學 The University of Electro-Communications (UEC)
・
Robotics Engineering
Past
經營管理人員 @優亞數位科技股份有限公司2020 ~ 2021
・
軟體開發經理
Within one month
程式語言: Python、NodeJS、C++ 程式管理: Git、GitLab 資料庫: MySQL、MongoDB、ElasticSearch、RabbitMQ、Redis 容器化技術: Docker、K8S 雲端系統: GCP 前端框架: ReactJS、Vue、Wordpress 深度學習套件: Pytorch、 OpenCV、Pandas、Numpy 工作經歷 十二月八月 2021 營運管理者 優亞數位科技股份有限公司 1. Chatbot CRM系統規劃設計與程式開發 2. 業務開發
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
國立中央大學 National Central University
・
資訊工程學系Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立中正大學
・
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Definition of Reputation Credits
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
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
Current status
Unemployed
Job Search Progress
Not open to opportunities
Professions
Machine Learning Engineer
Fields of Employment
Work experience
Less than 1 year
Management
None
Skills
Languages
English
・
Intermediate
Job search preferences
Positions
人工智慧工程師、軟體設計工程師、Deep learning engineer、Machine learning engineer、深度學習工程師、機器學習工程師
Job types
Full-time
Locations
台灣台北市
Remote
Interested in working remotely
Freelance
No
Educations
School
淡江大學
Major
資訊工程學系
簡孝羽
淡江大學資訊工程碩士
AI Engineer | 積極負責 | 擅於溝通 | 適應力強 | 勇於嘗試新事物
- 多次競賽相關經驗
- 碩士研究 - 基於深度學習 BERT 語言模型之醫療影像報告生成系統
- 深度學習｜影像處理｜ 自然語言
於碩士在學期間研究影像處理、自然語言以及影像描述等技術，並將其應用於醫療影像的判讀以及醫療報告生成，期許利用自身所學，降低醫療系統的龐大負擔。在學期間曾參加全國性競賽，並於2019全國智慧製造大數據競賽成功進入決賽，以及2021 Tomofun狗音辨識AI挑戰賽排名前9%，樂於應用自身所學解決各領域所遇到的問題。
Skills
Programing & IDEs
- Python ( 3+ years experience )
- Jupyter Notebook
- Visual Studio
Package
- Tensorflow
- Keras
- Scikit-Learn
- Numpy
- Pandas
- NLTK
- OpenCV
- Matplotlib
ML Algorithms
- Data Preprocessing
- Feature Engineering
Model Design, Training
Data Visualization
Transfer Learning
Machine Learning
- Statistic Analysis
- Linear/Logistic Regression
- Classification
Image Captioning
CNN
BERT
競賽經歷
Jun 2021 - July 2021
2021 Tomofun狗音辨識 AI 百萬挑戰賽
題目: 利用主辦方所提供的六種居家環境音建立音源分類模型，排名前9% (27/300)。
關鍵字: log-Mei spectrum, EfficentNet, Mixup, SpecAugment
May 2020 - Jun 2020
2020全國智慧製造大數據競賽
題目: 以加工機台的設定參數作為訓練資料，預測其中20個設定參數的數據。
指導兩位淡江機電系大學生組隊參加，負責演算法開發，資料前處理。
關鍵字: Hot Deck Imputation, LightGBM, K-fold
May 2019 - Jun 2019
2019全國智慧製造大數據競賽 - 進入決賽
題目: 利用刀具加工震動數據預測刀具磨耗類別與加工工件表面品質。
與兩位淡江機電系研究生組隊參加，負責演算法開發，資料前處理。
關鍵字: Fast Fourier transform, MFCCs, Linear Regression
其他經歷
Sep 2019 - Jan 2020
大學助理教師
研究生時擔任助理教師，負責淡江資工系大學生App Inventor 2 課程，使用App Inventor 2 做出Android App，提升大學生的程式基本概念。
Aug 2016 - Aug 2017
法務部行政執行署高雄分署-替代役管理幹部
於行政執行署高雄分署服役時，擔任替代役管理幹部，協助長官管理役男生活起居，輔助長官完成交辦事項。
學歷
淡江大學
資訊工程學系碩士
2018 - 2020
真理大學
企業管理學系學士
2012 - 2016
Tomofun狗音辨識 AI 百萬挑戰賽
利用主辦方所提供的六種居家環境音建立音源分類模型
使用log-Mel-Spectrum結合Delta Features & Accelerate features，堆疊成三維影像做為訓練資料，並使用了 SpecAugment、Mixup等前處理。使用 EfficientNet 做為主要的模型架構，測試準確率91.2%，ROC Curve score 為 0.981，在競賽中排名前9% (27/300)。
簡孝羽
淡江大學資訊工程碩士
AI Engineer | 積極負責 | 擅於溝通 | 適應力強 | 勇於嘗試新事物
- 多次競賽相關經驗
- 碩士研究 - 基於深度學習 BERT 語言模型之醫療影像報告生成系統
- 深度學習｜影像處理｜ 自然語言
於碩士在學期間研究影像處理、自然語言以及影像描述等技術，並將其應用於醫療影像的判讀以及醫療報告生成，期許利用自身所學，降低醫療系統的龐大負擔。在學期間曾參加全國性競賽，並於2019全國智慧製造大數據競賽成功進入決賽，以及2021 Tomofun狗音辨識AI挑戰賽排名前9%，樂於應用自身所學解決各領域所遇到的問題。
Skills
Programing & IDEs
- Python ( 3+ years experience )
- Jupyter Notebook
- Visual Studio
Package
- Tensorflow
- Keras
- Scikit-Learn
- Numpy
- Pandas
- NLTK
- OpenCV
- Matplotlib
ML Algorithms
- Data Preprocessing
- Feature Engineering
Model Design, Training
Data Visualization
Transfer Learning
Machine Learning
- Statistic Analysis
- Linear/Logistic Regression
- Classification
Image Captioning
CNN
BERT
競賽經歷
Jun 2021 - July 2021
2021 Tomofun狗音辨識 AI 百萬挑戰賽
題目: 利用主辦方所提供的六種居家環境音建立音源分類模型，排名前9% (27/300)。
關鍵字: log-Mei spectrum, EfficentNet, Mixup, SpecAugment
May 2020 - Jun 2020
2020全國智慧製造大數據競賽
題目: 以加工機台的設定參數作為訓練資料，預測其中20個設定參數的數據。
指導兩位淡江機電系大學生組隊參加，負責演算法開發，資料前處理。
關鍵字: Hot Deck Imputation, LightGBM, K-fold
May 2019 - Jun 2019
2019全國智慧製造大數據競賽 - 進入決賽
題目: 利用刀具加工震動數據預測刀具磨耗類別與加工工件表面品質。
與兩位淡江機電系研究生組隊參加，負責演算法開發，資料前處理。
關鍵字: Fast Fourier transform, MFCCs, Linear Regression
其他經歷
Sep 2019 - Jan 2020
大學助理教師
研究生時擔任助理教師，負責淡江資工系大學生App Inventor 2 課程，使用App Inventor 2 做出Android App，提升大學生的程式基本概念。
Aug 2016 - Aug 2017
法務部行政執行署高雄分署-替代役管理幹部
於行政執行署高雄分署服役時，擔任替代役管理幹部，協助長官管理役男生活起居，輔助長官完成交辦事項。
學歷
淡江大學
資訊工程學系碩士
2018 - 2020
真理大學
企業管理學系學士
2012 - 2016
Tomofun狗音辨識 AI 百萬挑戰賽
利用主辦方所提供的六種居家環境音建立音源分類模型
使用log-Mel-Spectrum結合Delta Features & Accelerate features，堆疊成三維影像做為訓練資料，並使用了 SpecAugment、Mixup等前處理。使用 EfficientNet 做為主要的模型架構，測試準確率91.2%，ROC Curve score 為 0.981，在競賽中排名前9% (27/300)。