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4-6 years
6-10 years
10-15 years
More than 15 years
Past
Data Engineer @Rooit Inc. (XO App)2023 ~ 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
邱義塵 於獨角獸多媒體設計有限公司擔任 遊戲測試工程師一職 建立公司測試團隊的測試流程和撰寫自動化測試程式 SDET、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 城市，TW [email protected] 工作經歷 獨角獸多媒體
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
中國醫藥大學(China Medical University)
・
臨床醫學研究所
Senior engineer @Chicony Electronics Co, Ltd.2018 ~ Present
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全端工程師、後端工程師、前端工程師、軟體專案主管、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
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan Ocean University
・
Computer science and engineering
Data Engineer @TSMC 台積電2022 ~ Present
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資料分析師、演算法工程師、軟體工程師、軟體專案管理
Within one month
Chun Shan, Wang [email protected] SUMMARY I'm a skilled software engineer, experienced in NLP and Data Engineering for over 4 years. I've delivered dependable solutions across commercial, educational, and psychological counseling domains. Expertise lies in deploying stable systems, ensuring valuable and trustworthy development. My background seamlessly integrates data and machine learning for comprehensive solutions. KEYWORDS: Python, NLP/NLU, Backend, Data, CI/CD, kubernetes, JAVA Spring, EXPERIENCE Data Engineer,now, TSMC I Build and improved the Python/JAVA services, including caching service with mongoDB and Redis, monitoring
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立中央大學 National Central University
・
網路學習科技研究所
經理 @鴻博資訊有限公司2015 ~ Present
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軟體工程師、電玩程式設計師、後端工程師、APP開發工程師、演算法開發工程師
Within one month
such as OpenCV, Scikit-Image, scikit-learn, NumPy, Matplotlib, PyQt5, etc., to implement various functionalities. Additionally, I possess the ability to develop mobile applications using Django and React Native. I am proficient in using testing frameworks, GitHub for version control, and Docker for deployment. . Machine Learning and Deep Learning Here is a summary of the relevant technologies in the field of machine learning that I have researched and become familiar with over the past year: Numpy (Numerical Computing Library) : Numpy is one of the core libraries for numerical computing in Python. It provides powerful
Employed
・
Ready to interview
Full-time / Remote Only
10-15 years
崑工科技大學
・
電子工程Past
Senior Front-End Software Engineer @KKSTREAM 香港商科科串流股份有限公司2020 ~ 2022
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前端工程師 Front-End Developer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立中山大學 National Sun Yat-Sen University
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Computer ScienceEmployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立臺灣科技大學
・
電機系
Research & Development Engineer @三竹資訊股份有限公司2023 ~ Present
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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
趙啟雲 chiyun chao A software engineer with 4 years of experience in AI model training and backend development. In the domain of machine/deep learning, I am familiar with: - focus on NLP(Natural language processing) and DPI(Deep packet inspection) - NLP networks such as Transformer, BERT, T5 - have experience with AI training platform development with mlflow, Label Studio, DVC In terms of backend development, I have the following experience： - backend framework: Spring boot, Flask - familiar with DB syntax for Elasticsearch, PosgresSQL and MSSQL Taiwan E-mail: [email protected] Skill languages Python JAVA backend
Employed
・
Open to opportunities
Full-time / Not interested in working remotely
4-6 years
國立中央大學 National Central University
・
資訊工程
Product Manager @Linker Vision2023 ~ Present
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PM/產品經理/專案管理
Within one month
— Alex Yu 5+ years experience as an AI engineer, 1.5 years as a co-founder and CPO. PM now. I'm a goal-oriented, self-motivated, and optimistic person. I'm seeking a full-time position that offers professional challenges utilizing interpersonal skills, excellent time management, and problem-solving skills . 工作經歷 JunePresent Product Manager Linker Vision SaaS product - Continuous learning AI platform - DataVerse. List on AWS SaaS marketplace. Product design, user persona analysis, AI industrial research. GTM strategy, LTC, CAC, Retention rate . Vision AI project
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣科技大學 National Taiwan University of Science and Technology
・
電機工程
Data science lecturer @Ittraining2020 ~ Present
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Data Scientist 資料科學家_數據分析師
Within one month
HUEY-LONG CHEN 陳惠龍 Kaggle Competitions Expert: https://www.kaggle.com/alanchen1115 Competitions: NLP (自然語言處理): - Silver medal (solo): (Kaggle) The Learning Agency Lab - PII Data Detection: Develop automated techniques to detect and remove PII from educational data. 2024/04/24 - Silver medal (solo): (Kaggle) U.S. Patent Phrase to Phrase Matching: Help Identify Similar Phrases in U.S. Patents, 2022/06/21 Recommendation system (推薦系統): - Silver medal (solo): (Kaggle) OTTO – Multi-Objective Recommender System: Build a
Employed
・
Open to opportunities
Part-time / Interested in working remotely
More than 15 years
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)
ERP資訊工程師-ERP Software Engineer @南茂科技股份有限公司 ChipMOS TECHNOLOGIES2022 ~ Present
・
Engineer, SA, SD, Data Analyst, PM
Within one month
YU-HSIANG, HSU (Shawn) 中文履歷 B2B/CRM | ERP | CIM | Programming | Data Analysis | Project Management 7~8 years of experience in software development and project management for the semiconductor and electronic components industries. Integrate B2B transaction data (ERP and MES) into the ERP system of the global supply chain. Data analytics and visualization, software development, distributed architecture design. SQL performance tuning, heterogeneous distributed database to integrate data from different databases. Using deep learning to detect objects Tainan, Taiwan Skills Languages: Mandarin (native), English (Intermediate) Programming: C#, Java, SQL, Python, PL/SQL
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立成功大學 National Cheng Kung 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
Employed
Job Search Progress
Professions
Other
Fields of Employment
Software
Work experience
4-6 years
Management
None
Skills
Languages
Job search preferences
Positions
AI工程師、後端工程師
Job types
Full-time
Locations
Remote
Interested in working remotely
Freelance
Educations
School
National Kaohsiung University of Applied Sciences
Major
Computer science and information engineering
Professional summary
目前任職於仁寶電腦的設計主任工程師，有著5年軟體工程師資歷，畢業於高應大資工所的電腦視覺研究室，研究方向多為影像、深度學習，論文的主題為結合深度學習應用於視覺輔助自動駕駛。
在仁寶電腦任職的期間先後參與過臉部辨識打卡系統、智能寶寶攝影機(pixsee)、長照機構用ERP系統與長照線上課程平台，在專案中擔任AI功能與後端需求開發的角色，負責優化AI相關識別正確率與系統restful API開發。
Skills
Programming languages
Deep learning ( Vision )
Tools
Backend
Others
Experience
Compal Electronic, Inc. Design leader 2019.06 - present
1.Intelligent Management System
智慧門禁系統，結合AI臉部識別技術、後端功能，取得員工照片後進行特徵提取並與中央伺服器比對資料庫以確認身分。● Face recognition - Deep learning model(tensorflow) , Python , OpenCV● Backend - NodeJS, MongoDB, CentOS- 規劃影像前處理功能- 優化臉部特徵擷取模型- 安排資料清洗排程，提升識別正確率- 識別API、資料庫維運，維持系統穩定運作3年以上，累積超過5千萬次識別紀錄
2. Smart Baby Camera - Pixsee
Pixsee為仁寶自主研發的第一個寶寶智慧攝影機，設備上結合了多個AI與雲端功能，可以透過Pixsee在外地也能與寶寶互動，紀錄嬰兒的成長時光影像。
● Auto croping - Face detection(deep learning, tensorflow 2), OpenCV, Docker, Python● Backend - API Development, NodeJS, MongoDB, Swagger, Express, ESLint● Azure - IoT hub, Blob Storage- 影像重點區域偵測演算法規劃- 臉部偵測模型優化- 透過Azure IoT hub偵測設備連線狀態- 串接Alexa voice service (Smart Home Skill APIs)，讓使用者能透過Amazon的Alexa控制Pixsee設備、觀看相機畫面。
3. Long-term care ERP
長照ERP系統的後端服務人員，系統可供長照機構、醫院使用，作為機構資源控管與工作分派的利器。
● Backend - API Development, NodeJS, Keycloak, Koa, Mongodb- 需求功能API開發- 負責公司、個案服務等主議題功能與資料庫的設計、開發
4. Online Course Platform - ilearning
ilearning為長照線上課程平台，可透過平台進行課程購買線上課程與相關產品。
● Backend - TypeScript, API Development, NodeJS, Mongodb, Express● GCP - Compute Engine, Nginx- 導入證照資訊自動識別功能，自動識別證照資訊- 需求功能API開發- 系統、資料庫維運
Contrel Technology Co., Ltd. , Software engineer 2017.09 - 2019.06
1. Defect detector (86 inch TV panel)
面板瑕疵檢測設備，自動檢測面板產品的瑕疵，以篩選出損壞的產品維持產線產品良率。
● Windows forms(C#)● Halcon- 取像模組、光源設計- 瑕疵檢測程式製作
2. Defect detector for micro LED
Micro LED的檢測瑕疵檢測機台。
● Python, OpenCV
- micro LED產品要檢測的目標更為細小(15 ~ 20nm)，且表面的特殊塗層都是相當大的挑戰
- 選用顯微鏡頭，需要額外克服速度、震動等困難點。
Educational background
National Kaohsiung University of Applied Sciences
CSIE master's degree, 2016 - 2017
- Bachelor & master degree (4 + 1)
- 典範科大 代表資工系參展 - Pedestrian tracking
- Thesis: Semantic Video Analysis and Lane Detection via Convolutional Neural Network for a Self driving System
National Kaohsiung University of Applied Sciences
CSIE college degree, 2012 - 2016
- 生純科技股份有限公司 intern
- MOPCON (2015-16、2018) staff
Certification
Professional summary
目前任職於仁寶電腦的設計主任工程師，有著5年軟體工程師資歷，畢業於高應大資工所的電腦視覺研究室，研究方向多為影像、深度學習，論文的主題為結合深度學習應用於視覺輔助自動駕駛。
在仁寶電腦任職的期間先後參與過臉部辨識打卡系統、智能寶寶攝影機(pixsee)、長照機構用ERP系統與長照線上課程平台，在專案中擔任AI功能與後端需求開發的角色，負責優化AI相關識別正確率與系統restful API開發。
Skills
Programming languages
Deep learning ( Vision )
Tools
Backend
Others
Experience
Compal Electronic, Inc. Design leader 2019.06 - present
智慧門禁系統，結合AI臉部識別技術、後端功能，取得員工照片後進行特徵提取並與中央伺服器比對資料庫以確認身分。● Face recognition - Deep learning model(tensorflow) , Python , OpenCV● Backend - NodeJS, MongoDB, CentOS- 規劃影像前處理功能- 優化臉部特徵擷取模型- 安排資料清洗排程，提升識別正確率- 識別API、資料庫維運，維持系統穩定運作3年以上，累積超過5千萬次識別紀錄
Pixsee為仁寶自主研發的第一個寶寶智慧攝影機，設備上結合了多個AI與雲端功能，可以透過Pixsee在外地也能與寶寶互動，紀錄嬰兒的成長時光影像。
● Auto croping - Face detection(deep learning, tensorflow 2), OpenCV, Docker, Python● Backend - API Development, NodeJS, MongoDB, Swagger, Express, ESLint● Azure - IoT hub, Blob Storage- 影像重點區域偵測演算法規劃- 臉部偵測模型優化- 透過Azure IoT hub偵測設備連線狀態- 串接Alexa voice service (Smart Home Skill APIs)，讓使用者能透過Amazon的Alexa控制Pixsee設備、觀看相機畫面。
長照ERP系統的後端服務人員，系統可供長照機構、醫院使用，作為機構資源控管與工作分派的利器。
● Backend - API Development, NodeJS, Keycloak, Koa, Mongodb- 需求功能API開發- 負責公司、個案服務等主議題功能與資料庫的設計、開發
ilearning為長照線上課程平台，可透過平台進行課程購買線上課程與相關產品。
● Backend - TypeScript, API Development, NodeJS, Mongodb, Express● GCP - Compute Engine, Nginx- 導入證照資訊自動識別功能，自動識別證照資訊- 需求功能API開發- 系統、資料庫維運
Contrel Technology Co., Ltd. , Software engineer 2017.09 - 2019.06
1. Defect detector (86 inch TV panel)
面板瑕疵檢測設備，自動檢測面板產品的瑕疵，以篩選出損壞的產品維持產線產品良率。
● Windows forms(C#)● Halcon- 取像模組、光源設計- 瑕疵檢測程式製作
2. Defect detector for micro LED
Micro LED的檢測瑕疵檢測機台。
● Python, OpenCV
- micro LED產品要檢測的目標更為細小(15 ~ 20nm)，且表面的特殊塗層都是相當大的挑戰
- 選用顯微鏡頭，需要額外克服速度、震動等困難點。
Educational background
National Kaohsiung University of Applied Sciences
CSIE master's degree, 2016 - 2017
- Bachelor & master degree (4 + 1)
- 典範科大 代表資工系參展 - Pedestrian tracking
- Thesis: Semantic Video Analysis and Lane Detection via Convolutional Neural Network for a Self driving System
National Kaohsiung University of Applied Sciences
CSIE college degree, 2012 - 2016
- 生純科技股份有限公司 intern
- MOPCON (2015-16、2018) staff