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4-6 years
6-10 years
10-15 years
More than 15 years
資料分析暨自動化工程師 @泰詠電子股份有限公司(6266)2021 ~ Present
・
資料分析師 軟體設計工程師 演算法開發工程師 深度學習研發工程師 AI工程師
Within one month
現節點。 學歷 國立中山大學 National Sun Yat-Sen University 應用數學系研究所統計組 碩士論文-結合無監督式學習的時間序列分析 簡述： 使用 機器學習演算法與時間序列模型，分析電力需求資料與空氣成分資料。 產學合作 DiGi + Talent跨域數位人才加速躍升計畫 至新
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立中山大學 National Sun Yat-Sen University
・
應用數學系研究所統計組
Active
Active
AI Engineer @TSMC 台積電2022 ~ 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
LinkedIn: www.linkedin.com/in/mPROFESSIONAL EXPERIENCE Data Scientist (Computer Vision), TSMC, 2022/4 - Present Super resolution for wafer patch enhancement Computer vision algorithm development. Machine Learning Engineer (Computer Vision), VIVOTEK, 2019//4 Neural Network architecture design and optimization. Computer vision algorithm development. Mechanical Engineer (Vehicle Chassis), HAITEC, 2016//4 Design and develop steering wheel and airbag. SKILLS Programming Python C++ Development Tools PyTorch OpenCV Linux Docker Git Domain knowledge Super resolurion Object detection Face detection and recognition Machine Learning Web Crawling EDUCATION INSTITUTE FOR
Employed
Full-time / Interested in working remotely
4-6 years
國立臺灣大學
・
機械工程研究所
Web/Backend Engineer @元大投信2021 ~ 2023
・
工程師、副理
Within six months
建置過多個企業內部、官方網站後台、活動網站、LintBot、WebAPI、TSQL資料串接等經驗. 取得國立北教大資訊科學系碩士學位, 應用不同機器學習演算法於台灣股市、應答機器人、人臉分析. 人生經歷赴日短期打工換宿,體驗新勞動文化,不定時參與工程師教
Employed
Full-time / Interested in working remotely
6-10 years
國立台北教育大學
・
資訊科學, 類神經網路研究
軟體工程師 @台灣微軟Microsoft Taiwan2021 ~ Present
・
軟體工程師
More than one year
制機器人Android APP( Google Play ) - 開發Android Application(Java)超過3年 - 共獨立開發過三款Android APP，參與開發一款Android APP - 使用C/C++/Python開發機器學習演算法、應用 Program Language: - Java, Kotlin Experience - Develop Android Application in IP CAM -- Develop FTP-like application to make user access file friendly. -- Develop API adapter to make older version - Develop TEXTIP, Computer Vision Search Application and E-commerce Platform (search TEXTIP in Google Play and
Employed
・
Not open to opportunities
Full-time / Remote Only
6-10 years
國立交通大學 National Chiao Tung University
・
資訊工程
機器學習演算法工程師
More than one year
於機器學習這塊領域。碩士論文主要是研究：如何在物聯網中，利用機器學習的演算法降低總能量消耗。 自己在服役期間，用Deep learning做了一些side project，例如：輸入照片，自動辨別性別與年齡，語意分析，走迷宮 等等 機器學習演算法工程師 城市，TW [email protected]
Full-time / Interested in working remotely
4-6 years
交通大學
・
電子工程系
Principal Engineer @Coretronic Corporation, 中強光電2020 ~ 2022
・
Machine Learning Engineer
Within one month
Employed
Full-time / Interested in working remotely
6-10 years
國立台灣大學
・
經濟學
機器學習工程師 @日新軟體股份有限公司2021 ~ 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 six months
focus mainly on object detection, sensor fusion and sensor calibration. 3+ years of experience in machine learning. Used to conduct research in medical AI projects and possess experience in implement real-world end-to-end ML project . Skills Programming Languages Python C++ SQL Machine Learning TensorFlow Pytorch Scikit-learn Matplotlib Others FastAPI Docker Redis Linux Certification Taiwan AI Academy - AI Technical Professionals Program NVIDIA DLI Certificate – Applications of AI for Anomaly Detection Work Experience Machine Learning Engineer NEUTEC • MayPresent Develop, optimize and maintain the machine learning algorithm for internal process automation. Deploy machine
Employed
Full-time / Interested in working remotely
4-6 years
國立臺北科技大學
・
機電整合所Senior Backend Engineer @BSOS2019 ~ Present
・
Blockchain and Big Data
More than one year
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
National Cheng Kung University
・
Computer Science and Information EngineeringSoftware Engineer @ITRI Cloud Computing Center2010 ~ 2014
・
Senior Software Engineer
Within one year
Full-time / Interested in working remotely
6-10 years
National Chiao Tung University
・
Electrical and Control Engineering
Site In Charge @Wipro Limited2013 ~ 2013
・
Data Scientist
More than one year
Testing, Machine Learning Algorithms, Data Visualization by Matplotlib, Seaborn, ggplot2 • Creating various dashboards and reports using Tableau, Qlikview / Qliksense, Excel, SQL • Experience in Healthcare, Telecom, Financial Analytics, Demand Forecasting and IT service analytics • SQL Database Administration & Management and IT Service Operations Business and Data Modelling with Workflow creation Skills Machine Learning Classification Algorithm : Logistics Regression, K-NN, Decision Tree, Random Forest, SVM Regression Algorithms : Linear Regression, Decision Trees, Random Forest Clustering Techniques : K-Means, Hierarchical Statistical Analysis EDA, Inferential Statistics, Hypothesis Testing, Probability, Sampling Techniques. Libraries : Statistics, Numpy, Pandas Data Visualization & Dashboarding Libraries: seaborn, matplotlib, ggplot2 Tools: Tableau
Employed
Full-time / Interested in working remotely
4-6 years
VIT 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
Software Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, Semiconductor
Work experience
4-6 years
Management
None
Skills
Languages
Chinese
・
Native or Bilingual
English
・
Professional
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
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園市桃園區桃園
Remote
Interested in working remotely
Freelance
No
Educations
School
國立臺灣大學
Major
機械工程研究所
鄭凱元 (Kai-Yuan Cheng)
Machine Learning Engineer focusing on super resolution, object detection, and face recognition.
Strongly interested in deep learning and computer vision.
Graduated from National Taiwan University with Master of Mechanical Engineering.
AI/ML Engineer
Date of Birth: 1991/8/25
Mobile: +886(0)919-165-221
E-mail: [email protected]
LinkedIn: www.linkedin.com/in/m06800825
PROFESSIONAL EXPERIENCE
Data Scientist (Computer Vision), TSMC, 2022/4 - Present
- Super resolution for wafer patch enhancement
- Computer vision algorithm development.
Machine Learning Engineer (Computer Vision), VIVOTEK, 2019/2 - 2022/4
- Neural Network architecture design and optimization.
- Computer vision algorithm development.
- Design and develop steering wheel and airbag.
SKILLS
Programming
- Python
- C++
Development Tools
- PyTorch
- OpenCV
- Linux
- Docker
- Git
Domain knowledge
- Super resolurion
- Object detection
- Face detection and recognition
- Machine Learning
- Web Crawling
EDUCATION
INSTITUTE FOR INFORMATION INDUSTRY
Data Engineering and Data Analytics Intensive Training Program (2018/6 - 2018/11)
NATIONAL TAIWAN UNIVERSITY (NTU)
Master of Mechanical Engineering (2013/9 - 2015/7)
NATIONAL TAIWAN UNIVERSITY (NTU)
Bachelor of Mechanical Engineering (2009/9 - 2013/6)
CERTIFICATES
Microsoft Professional Program:
Data Science Certificate
TOEIC Golden Certificate
(915/990)
PROJECTS
Super Resolution for wafer defect detection
- Develop model to enhance wafer images for improving defect capture rate
- Improve defect capture rate by 20%
Object detection in surveillance system
- Develop models based on YoloX, Yolov4 and RetinaNet for wall mount and ceiling mount cameras.
- Model compression and deployment on camera: (a) Reduce model size by 4x (b) Reduce inference time by 2x
Pedestrian and vehicle attribute recognition
- Detect age, gender, accessories, and dress color of pedestrians. The valation accuracy is around 90%.
- Detect color of vehicles. The validation accuracy is around 92%.
Face detection and recognition
- Develop detection model based on RetinaFace
- Face alignment by using face landmarks from face detection.
- Develop recognition model based on ArcFace
- Serve as team leader, assign tasks and manage project progress.
- In charge of training data preparation and model architecture design.
- Predict China mobile users' characteristics based on their app usage, location, and device properties.
SUMMARY
- Continuously study SOTA deep learning algorithms of computer vision.
- Design Neural Network architecture and integrate into products of the company.
鄭凱元 (Kai-Yuan Cheng)
Machine Learning Engineer focusing on super resolution, object detection, and face recognition.
Strongly interested in deep learning and computer vision.
Graduated from National Taiwan University with Master of Mechanical Engineering.
AI/ML Engineer
Date of Birth: 1991/8/25
Mobile: +886(0)919-165-221
E-mail: [email protected]
LinkedIn: www.linkedin.com/in/m06800825
PROFESSIONAL EXPERIENCE
Data Scientist (Computer Vision), TSMC, 2022/4 - Present
- Super resolution for wafer patch enhancement
- Computer vision algorithm development.
Machine Learning Engineer (Computer Vision), VIVOTEK, 2019/2 - 2022/4
- Neural Network architecture design and optimization.
- Computer vision algorithm development.
- Design and develop steering wheel and airbag.
SKILLS
Programming
- Python
- C++
Development Tools
- PyTorch
- OpenCV
- Linux
- Docker
- Git
Domain knowledge
- Super resolurion
- Object detection
- Face detection and recognition
- Machine Learning
- Web Crawling
EDUCATION
INSTITUTE FOR INFORMATION INDUSTRY
Data Engineering and Data Analytics Intensive Training Program (2018/6 - 2018/11)
NATIONAL TAIWAN UNIVERSITY (NTU)
Master of Mechanical Engineering (2013/9 - 2015/7)
NATIONAL TAIWAN UNIVERSITY (NTU)
Bachelor of Mechanical Engineering (2009/9 - 2013/6)
CERTIFICATES
Microsoft Professional Program:
Data Science Certificate
TOEIC Golden Certificate
(915/990)
PROJECTS
Super Resolution for wafer defect detection
- Develop model to enhance wafer images for improving defect capture rate
- Improve defect capture rate by 20%
Object detection in surveillance system
- Develop models based on YoloX, Yolov4 and RetinaNet for wall mount and ceiling mount cameras.
- Model compression and deployment on camera: (a) Reduce model size by 4x (b) Reduce inference time by 2x
Pedestrian and vehicle attribute recognition
- Detect age, gender, accessories, and dress color of pedestrians. The valation accuracy is around 90%.
- Detect color of vehicles. The validation accuracy is around 92%.
Face detection and recognition
- Develop detection model based on RetinaFace
- Face alignment by using face landmarks from face detection.
- Develop recognition model based on ArcFace
- Serve as team leader, assign tasks and manage project progress.
- In charge of training data preparation and model architecture design.
- Predict China mobile users' characteristics based on their app usage, location, and device properties.
SUMMARY
- Continuously study SOTA deep learning algorithms of computer vision.
- Design Neural Network architecture and integrate into products of the company.