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On
4-6 years
6-10 years
10-15 years
More than 15 years
Taipei City, Taiwan
Senior Software Engineer @U-NEXT Co., Ltd.2021 ~ Present
・
Software Engineer
Within one month
internal frontend application as a full-stack developer [Core technology] - Python/JavaScript - Django/Django Rest Framwork/Chalice AWS Lambda/Flask/FastAPI - Vue.js - Tensorflow/Keras/OpenCV Software Engineer • 盛星科技 | Astra Inc. 十二月四月Build innovative computer vision and pedestrian detection backend service - Build and maintain a high availability of deep learning-based computing systems - Develop human detection and facial recognition deep learning models and algorithms [Core technology] - Golang/Python - AWS/DynamoDB/SQS/EC2 - Tensorflow/Keras/OpenCV/openVINO Platform
Employed
Full-time / Interested in working remotely
4-6 years
Nation Taiwan University
・
Bioelectronic and Bioinformatics
Employed
Full-time / Interested in working remotely
4-6 years
台灣科技大學
・
電子工程研究所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
Employed
Full-time / Interested in working remotely
4-6 years
國立臺灣大學
・
機械工程研究所
Software engineer
More than one year
Kai-Kai Hsu Software Engineer • Taipei，TW • [email protected] •With 10+ years experience of image processing algorithm development, engaged in the developments of below software features : Filmora, PowerDirector, PhotoDirector, YouCam Perfect (App) and YouCam Makeup (App), mainly involved in the algorithm designings of image processing, computer vision, pattern recognition, machine learning(SVM, regression). Capable of performance tunning (Multithread, SIMD, NEON), cross-platform development, including Window, Mac, Unix, iOS, and Android systems. Skills Programming Development C++ (mainly) Objective C (elementary) iOS development Java, JNI (elementary) Android development Library OpenCV effekseer clapack
Employed
Full-time / Interested in working remotely
10-15 years
中央大學
・
資訊工程Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
Fu Jen Catholic University
・
Major, Optical Physics, Minor, Finance and international businessThe Most Lightweight and Effective Recruiting Plan
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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.