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Showcase your skills and projects with a professional portfolio.
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Resume
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Resume Builder
Make a resume for free.
Resume Templates
Access our extensive library of professional & ready-to-use templates.
Resume Examples
Get inspired by real resume examples to create your own.
Occupation Guide
Access resume writing guides tailored for different professions.
Resume Help
Get expert advice on all things resume from our team of recruitment specialists.
Cake AI Resume CheckerNew
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Data Scientist @Vizuro
Manager
Within one month
in social platform, madtech, healthcare, education and fintech with ML/DL technologies. In order to integrate information from multiple domains, project portfolio management is also acquired. New Taipei City，TW [email protected] Communication Understanding customers requirements to design explainable AI experiments and to develop algorithm libraries delivered to developers to integrate with production platform Project Management Stories and tasks are organized after discussing with stakeholders and developers to estimate the timeline releasing features. The lifecycle integrating both of the research and the development agilly and incrementally. Algorithm Nonlinear optical simulation, Quantum statistics
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
國立臺灣大學
・
量子計算
Past
後端工程師 @SHOPLINE 商線科技股份有限公司2021 ~ 2023
・
後端工程師
Within one year
果第一位 、「mongodb 教學」佔搜尋結果第四位。 學歷 國立臺灣大學：資訊管理學系（） 於畢業專題與連鎖牙醫診所合作，開發「最佳化排班 演算法 」與「排班操作系統」。 技能 程式語言、框架 精通 Node.js、NestJS 框架 與 Jest 測試框架 初階 Golang 資料庫 熟悉 MongoDB 初階 Postgres 初階 Redis API 熟悉
Unemployed
Taiwan
Part-time / Remote Only
4-6 years
國立臺灣大學
・
資訊管理學系The Most Lightweight and Effective Recruiting Plan
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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 (National Taiwan University)
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.