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4-6 years
6-10 years
10-15 years
More than 15 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
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
Past
後端工程師 @緯創軟體2022 ~ 2023
・
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
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
義守大學 I-SHOU University
・
資訊管理學系
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
programming was going to my Bachelor's degree, C++ was the first program I learned. Then I started to learn Python in 2018 at TEDU and my first project was the Stock Trend Prediction by CNN. I kept using Python to implement web crawling, OOP, and Pandas in my job, intend to let my work become more automated. I used those techniques to automate the data-gathering problem, which shorten the existing progress duration. I'm very passionate about Data Scientist and Machine Learning. Work Experience Product Manager • 東元電機股
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學 National Cheng Kung University
・
Mechanical EngineeringSoftware Engineering Section Manager @仁寶2023 ~ Present
・
Lead Designer, Senior Consultant, Design Manager
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taipei University of Technology
・
電機系
Past
Mobile App Developer @Apple Inc.2014 ~ Present
・
Lead Infrastructure Engineer
Within one month
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
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
AI Engineer/系統開發工程師 @中信金控_台灣人壽保險股份有限公司2022 ~ Present
・
AI Engineer
Within one month
Data Scientist Intern @ Cathay Financial Holdings. 國泰金控 Digital data & Technology (DDT, 數數發) Research into Interpretable Machine Learning and its existing algorithms. Experimented LIME & SHAP on open data. ( GitHub ) Real Estate Evaluation model – Geographical/Credit Card data gathering, cleaning, feature engineering (Hit-rate performance improved from 55% to 70%) Python Machine learning Data Pipelines Web Crawlers PyTorch, Airflow, Pandas, docker SQL Extract-Transform-Load(ETL) Efficiency(Window Functions) Language Chinese(Native) English (TOEIC 905/990 TOEFL 96/120) Project(@ Esun only) ( Powerpoint demo link, clic...
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學 National Taiwan University
・
Business Administration
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
・
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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
Studying
Job Search Progress
Professions
Fields of Employment
Work experience
Less than 1 year
Management
None
Skills
Languages
English
・
Intermediate
Chinese
・
Native or Bilingual
Japanese
・
Beginner
Job search preferences
Positions
Intern
Job types
Full-time
Locations
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
Chang Gung University
Major
Health Care Management
技能
Database
- MySQL
- Redis
Web Crawling (Python)
- BeautifulSoup
- selenium
Data Mining
- numpy
- pandas
- sklearn
Deep Learning
- CNN
- YOLO V4
Cloud Service
- AWS
- GCP
Others
- Linux, Spark, Docker, Tableau, Flask, Git
語言
- 英語 --- TOEIC 865
- 日語 --- JLPT N2
經歷
Aug 2018 - Jun 2021
AI工程師養成班 學員
緯育TibaMe就業養成班
於TibaMe職訓中心學習，並於結訓前製作小組專案中負責影像辨識。
學習內容:
- Python
- Python ETL
- Linux
- Github, Sourcetree
- Flask
- MySQL, MongoDB, Redis
- AWS, GCP
- Machine Learning, Deep Learning, OpenCV
- Spark, Data Mining, Text Mining & NLU
- Line Chatbot
- Tableau
Sep 2017 - Jun 2021
醫務管理學系 畢業生
長庚大學
Aug 2018 - Jun 2021
工讀生
長庚大學流行病學實驗室
於流行病學實驗室擔任工讀生以及專題研究生。
參與:
- 協助實驗內容分別有:
- 蒐集檢體以及相關數據: 於社區活動中心，持續追蹤多個個案的身體代謝元素以及運動能力，負責問卷調查詳細生活作息，作為研究數據。
- 處理檢體: 將檢體過濾、稀釋、分裝、標記；每小時約處理100支檢體。
- 上機實驗: 將檢體稀釋、標定，上機進行分析，主要以分析無機元素為主；每小時約處理三批檢體。
- 機器調教: 為確保實驗準確度，須對機器進行調教，並觀察調教數據是否在合理範圍，並與研究助理討論實驗方向以及調教方式。
- 各大學教授參與之成果發表活動承辦，教授以及研究生們分別發表各自實驗室一年中所研究出的成果。
Jul 2019 - Sep 2019
Intern
林口長庚紀念醫院
在醫事處以及管理處擔任實習生。
參與:
- 於醫事處與其他實習生完成「改善洗衣流程」專案
- 進行醫院內手術服、病患服、醫師袍等等，衣物蒐集、送洗、歸還的流程改善，希望改善行政程序並增加各環節工作效率。
- 於專案期間自主做出報告用簡易的app。
- 於管理處與其他實習生完成「新轉運站美食街 - 進駐廠商類型之分析 」
- 於專案期間與其他實習生將上千筆各部門員工進行id編碼。
- 因應林口長庚新建轉運站於院區內，關於進駐廠商類型之分析，調查其他轉運站在什麼樣的時段湧入多少人潮，並分析人潮種類，最後將適當的類型做成推薦表報告。
自傳
關於我
2021年於長庚大學醫務管理學系取得學士學位，自學動機強，大學期間自學日語一年內考取N2證
書，以及程式語言製作實習成果報告之示範用模板app。
為什麼會選擇跨領域?
就讀醫務管理學系時，因緣際會之下接觸到R語言，對注重邏輯思考的程式語言產生興趣，因此開始自學R語言並修習相關課程，如Java、Python等語言。同時在本科系的必修中了解到AI逐漸在各領域佔有一席之地，希望增加自己的競爭力，並運用自己跨領域的優點對相關領域做出貢獻，因此決定跨領域找相關工作。
程式語言的學習歷程
高中必修學過基礎的C++，並於大一暑假旁聽台大暑期R語言課程。之後透過Data camp自學R語
言，並於大三上選修程式設計(Java)。畢業前共學過R語言、Java、sas、SPSS。畢業後便參加TibaMe
職訓中心，學習AI相關知識。
有什麼相關專案作品嗎?
於職訓中心與組員共同完成之專題，使用者可以透過拍攝便當照片上傳我們架設的網站，便可得知
此便當的熱量以及三大營養素，我們實作了資料庫的建立、影像辨識模型訓練、前端架設。我於其中負
責影像辨識模型訓練，因準確性較高、運算速度快、設備需求低，而選用YOLOv4。
對未來有什麼規劃
期望可以精進自己對其他程式語言的應用熟悉度，並於實務上快速抓出重點解決。
謝謝您撥空看我的履歷! ! !
技能
Database
- MySQL
- Redis
Web Crawling (Python)
- BeautifulSoup
- selenium
Data Mining
- numpy
- pandas
- sklearn
Deep Learning
- CNN
- YOLO V4
Cloud Service
- AWS
- GCP
Others
- Linux, Spark, Docker, Tableau, Flask, Git
語言
- 英語 --- TOEIC 865
- 日語 --- JLPT N2
經歷
Aug 2018 - Jun 2021
AI工程師養成班 學員
緯育TibaMe就業養成班
於TibaMe職訓中心學習，並於結訓前製作小組專案中負責影像辨識。
學習內容:
- Python
- Python ETL
- Linux
- Github, Sourcetree
- Flask
- MySQL, MongoDB, Redis
- AWS, GCP
- Machine Learning, Deep Learning, OpenCV
- Spark, Data Mining, Text Mining & NLU
- Line Chatbot
- Tableau
Sep 2017 - Jun 2021
醫務管理學系 畢業生
長庚大學
Aug 2018 - Jun 2021
工讀生
長庚大學流行病學實驗室
於流行病學實驗室擔任工讀生以及專題研究生。
參與:
- 協助實驗內容分別有:
- 蒐集檢體以及相關數據: 於社區活動中心，持續追蹤多個個案的身體代謝元素以及運動能力，負責問卷調查詳細生活作息，作為研究數據。
- 處理檢體: 將檢體過濾、稀釋、分裝、標記；每小時約處理100支檢體。
- 上機實驗: 將檢體稀釋、標定，上機進行分析，主要以分析無機元素為主；每小時約處理三批檢體。
- 機器調教: 為確保實驗準確度，須對機器進行調教，並觀察調教數據是否在合理範圍，並與研究助理討論實驗方向以及調教方式。
- 各大學教授參與之成果發表活動承辦，教授以及研究生們分別發表各自實驗室一年中所研究出的成果。
Jul 2019 - Sep 2019
Intern
林口長庚紀念醫院
在醫事處以及管理處擔任實習生。
參與:
- 於醫事處與其他實習生完成「改善洗衣流程」專案
- 進行醫院內手術服、病患服、醫師袍等等，衣物蒐集、送洗、歸還的流程改善，希望改善行政程序並增加各環節工作效率。
- 於專案期間自主做出報告用簡易的app。
- 於管理處與其他實習生完成「新轉運站美食街 - 進駐廠商類型之分析 」
- 於專案期間與其他實習生將上千筆各部門員工進行id編碼。
- 因應林口長庚新建轉運站於院區內，關於進駐廠商類型之分析，調查其他轉運站在什麼樣的時段湧入多少人潮，並分析人潮種類，最後將適當的類型做成推薦表報告。