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4-6 years
6-10 years
10-15 years
More than 15 years
OPC Chief Engineer @TSMC2020 ~ 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
◆Excelled in distributed computing, optimizing code execution across thousands of systems to significantly improve processing speed and efficiency. ◆Developed sophisticated data visualization tools to distill complex datasets into actionable insights, aiding strategic decision-making. The University of Tokyo, Foreign Researcher (OctSep◆Pioneered a neural network-based approach for cell image classification and data visualization, enhancing lab capabilities in biological research. ◆Designed a user-friendly GUI for neural network model training, democratizing access to advanced computational tools for non-programmers. Education National Chiao-Tung University, Ph.D. - Photonics, 2015 ~ 2020 Development of Intelligent Wearable Near Infrared
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chiao-Tung University
・
Ph.D. - Clinical Engineering
設備專案工程師 @日月光半導體製造股份有限公司 ADVANCED SEMICONDUCTOR ENGINEERING, INC.2020 ~ Present
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工程師
Within three months
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立高雄科技大學 National Kaohsiung University of Science and Technology
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電腦與通訊工程系
Data Analyst & IoT Software Developer @FARAZ ERTEBAT2021 ~ Present
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Computer Vision / Deep Learning
Within one month
C# as well, I develop robust solutions that encompass various programming paradigms. Passionate about staying up-to-date with the latest advancements, I excel at leveraging AI and computer vision techniques to derive valuable insights from visual data. I have successfully applied my knowledge in domains like image classification, object detection, and video analytics. As a lifelong learner, I continuously seek professional growth, exploring emerging technologies and frameworks to expand my skill set. I collaborate with cross-functional teams, employing popular Deep Learning frameworks like TensorFlow and PyTorch, as well as libraries like OpenCV.
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
University of Qom
・
Information Technology | Face Recognition
Software QA Engineer @West Pharmaceutical Services2020 ~ Present
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Software Developer
Within three months
/jQuery. Integrate databases in MySQL/MSSQL/Oracle SQL/Google Firebase. Web Server setup in AMP(Apache, MySQL), Django/gunicorn/Nginx iOS App development in Swift/Message Kit/Core NFC. Machine Learning Experience with using Python and Keras in medical image classification and detection based on CNN. Basic Hardware Application Experience with Raspberry Pi 3/4 and environmental sensors(Temperature, humidity, pm2.5, co2, dangerous gas, ultrasonic/infrared distance, infrared camera). Experience with Arduino and environmental sensors. 工作/專案經歷
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
朝陽科技大學Chaoyang University of Technology
・
資訊管理系 Department of Information Management
Offline
Offline
Algorithm Engineer @Delta Electronics2017 ~ Present
・
Algorithm Engineer
Within one month
莊承翰 The devil is in the detail. Video and Image Algorithm, Deep learning, Software development [email protected] Summary Over 8 years of experience in deep learning and more than 10 years of experience in computer vision/image processing. Capable of independently or collaboratively building AI (image/video) products from scratch with various teams. Analyzing, and improving deep learning systems. Kaggle Top 1% ( 16 /Sartorius - Cell Instance Segmentation (2021/12~2021/12) Top 4% ( 85 /Human Protein Atlas Image Classification (2018/11~2019/1
Employed
Full-time / Not interested in working remotely
4-6 years
National Chin-Yi University of Technology
Performance Analyst @Ericsson2014 ~ 2016
・
Data Scientist
Within six months
Full-time / Interested in working remotely
6-10 years
University of Southampton
・
Actuarial Science (1st class degree)Employed
Full-time / Interested in working remotely
6-10 years
國立台灣大學
・
資訊工程
Data Analytics Project Manager @Construction and Disaster Prevention Research Center2015 ~ Present
・
Data Scientist
More than one year
oriented and quality-focused. •Can work independently in a fast-paced environment. •Cool and concentrate under pressure. •Have good communication and presentation skills logically. Skills Project Management Technology research Communication Presentation Time Management Communication Software Python SPSS IBM SPSS Modeler ArcGIS Specialization Data Analysis GIS Analysis Image Classification Remote Sensing Data Modeling ML Algorithm Languages Mandarin Chinese English Work Experience Data Analytics Project Manager Construction and Disaster Prevention Research Center • 九月Present ‧Provided data forecasting and strategy to clients/government for making a strategic decision on urban planning/environmental protection/preservation.
Employed
Full-time / Interested in working remotely
4-6 years
FENG CHIA UNIVERSITY
・
Master of Urban Planning and Spatial Information
System Development Engineer @Amazon Web Services (AWS)2023 ~ Present
・
Software Engineer
Within six months
stack for the company's product Building software team's workflow and coding standards Building office's network and internal service infrastructure Software Engineer Tech Lead DT42 六月十月 2019Taipei, Taiwan Co-working with Acer to create a low overhead Python wrapper for Tensorflow Lite C++ image classification running on Acer aiSage device, which only adds 2 to 4 ms overhead Software Engineer DT42 十二月六月 2018Taipei, Taiwan Migrating backend architecture from AWS EC2 GPU instances to on-demand AWS ECS service, which reduce 80% costs Hardware Enablement Engineer Canonical 十一月
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
NSYSU, Taiwan
・
CSE
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ Present
・
Software Engineer
Within one month
push-ups and squats, enabling accurate tracking and analysis of workout routines. Skeleton Detection Motion Classification Body AI: 3D Body Data Analysis Engage in a variety of AI side projects focused on leveraging 3D body data, encompassing tasks such as Body ID Recognition, Body Measurements Prediction, and Body Shape Classification. Mesh Data Processing Body Modulization: SMPL Project Engineer • Acer Inc. JanMay 2021 Working in research and development (RND), I provided demand analysis, conceived system architecture, and developed core technology in AI projects Medical AI: Cancer Cells Detection Designed an image preprocessing algorithm and conducted training and optimization
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
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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
Data Scientist
Fields of Employment
Manufacturing
Work experience
6-10 years work experience (4-6 years relevant)
Management
Skills
Languages
English
・
Intermediate
Job search preferences
Positions
Algorithm Engineer
Job types
Full-time
Locations
台灣台北市
Remote
Not interested in working remotely
Freelance
No
Educations
School
National Chin-Yi University of Technology
Major
莊承翰
The devil is in the detail.
Video and Image Algorithm, Deep learning, Software development
Summary
- Over 8 years of experience in deep learning and more than 10 years of experience in computer vision/image processing.
- Capable of independently or collaboratively building AI (image/video) products from scratch with various teams.
- Analyzing, and improving deep learning systems.
Kaggle
- Top 1% ( 16 / 1559 ) Sartorius - Cell Instance Segmentation (2021/12~2021/12)
- Top 4% ( 85 / 2160 ) Human Protein Atlas Image Classification (2018/11~2019/1)
profile
Skills
Software
- C++
- Python
Library / Framework
- OpenCV
- PyTorch
- LibTorch
DL / ML
- Classification / Regression
- One stage / Two stage Object Detection
- Inbalance Data Handle
- Domain Adaptation
- Semi/Self Supervised
- Data Augmentation
- Mislabel Data Detection
- New Class Detection
- Abnormal Detection
Experience
Delta Electronics, Principal Algorithm Engineer, May 2022 ~ Present
[ Primary Job Responsibilities ]
- Development and implementation of DL-related technologies for industrial inspection applications.
- Increase the efficiency of team members across various projects by SOP and tools.
[ Projects ]
- DIP Manufacture Defect Detection (Internal Factory)
- Human replacement rate 50-70% (depending on different product conditions).
- Plastic Fan Defect Detection
[ Concept Verification ]
- Analog Meter Recognition
[ Skill ]
- Deep Learning (Pytorch)
- Transitional CV
- C++ / Python
Delta Electronics, Senior Algorithm Engineer, Jul 2017 ~ May 2022
[ Primary Job Responsibilities ]
- Development and implementation of DL-related technologies for industrial inspection applications.
- Algorithm system development and maintenance.
[ Projects ]
- SMT Manufacture Defect Detection (Internal Factory)
- Human replacement rate 50-70% (depending on different product conditions).
- PCB Ceramic Basic Defect Detection (External Clients)
- Establishment of acceptance standards.
- Human replacement rate 60-80% (depending on different product conditions).
- Adoption of Domain Adaptation-related technologies to reduce data collection and accelerate model deployment time for new products.
- TFT-LCD Defect Detection (Inherited Project) (External Clients)
- Accuracy rate 85-95% (depending on different product lines).
(Improved accuracy rate by 2-8% compared to previous. )
[ Concept Verification ]
- Metal Scratch Detection
- Patent Number: I791970
- Analog Meter Recognition
[ Skill ]
- Deep Learning (Pytorch)
- Transitional CV
- C++ / Python
ADE Technology, Algorithm Engineer, Apr 2016 ~ Jul 2017
[Projects]
- License Plate Recognition System
- Algorithms development
- UI
- Pedestrian Detection
- Algorithms development
- Thermal Image Enhancement
- Transitional CV
- C++ / Python
Genius Vision Digital, Algorithm Engineer, Oct 2014 ~ Feb 2016
[Projects]
- License Plate Algorithms
- People Counting Algorithms
- System Debug and Maintain
- Significantly improve the executive performance of people counting algorithms (Reduce the CPU loading by 50%)
- Transitional CV
- C++
Education
National Chin-Yi University of Technology, 2011 ~ 2013
Master of Computer Science and Information Engineering
National Chin-Yi University of Technology, 2007 ~ 2011
Bachelor of Computer Science and Information Engineering
莊承翰
The devil is in the detail.
Video and Image Algorithm, Deep learning, Software development
Summary
- Over 8 years of experience in deep learning and more than 10 years of experience in computer vision/image processing.
- Capable of independently or collaboratively building AI (image/video) products from scratch with various teams.
- Analyzing, and improving deep learning systems.
Kaggle
- Top 1% ( 16 / 1559 ) Sartorius - Cell Instance Segmentation (2021/12~2021/12)
- Top 4% ( 85 / 2160 ) Human Protein Atlas Image Classification (2018/11~2019/1)
profile
Skills
Software
- C++
- Python
Library / Framework
- OpenCV
- PyTorch
- LibTorch
DL / ML
- Classification / Regression
- One stage / Two stage Object Detection
- Inbalance Data Handle
- Domain Adaptation
- Semi/Self Supervised
- Data Augmentation
- Mislabel Data Detection
- New Class Detection
- Abnormal Detection
Experience
Delta Electronics, Principal Algorithm Engineer, May 2022 ~ Present
[ Primary Job Responsibilities ]
- Development and implementation of DL-related technologies for industrial inspection applications.
- Increase the efficiency of team members across various projects by SOP and tools.
[ Projects ]
- DIP Manufacture Defect Detection (Internal Factory)
- Human replacement rate 50-70% (depending on different product conditions).
- Plastic Fan Defect Detection
[ Concept Verification ]
- Analog Meter Recognition
[ Skill ]
- Deep Learning (Pytorch)
- Transitional CV
- C++ / Python
Delta Electronics, Senior Algorithm Engineer, Jul 2017 ~ May 2022
[ Primary Job Responsibilities ]
- Development and implementation of DL-related technologies for industrial inspection applications.
- Algorithm system development and maintenance.
[ Projects ]
- SMT Manufacture Defect Detection (Internal Factory)
- Human replacement rate 50-70% (depending on different product conditions).
- PCB Ceramic Basic Defect Detection (External Clients)
- Establishment of acceptance standards.
- Human replacement rate 60-80% (depending on different product conditions).
- Adoption of Domain Adaptation-related technologies to reduce data collection and accelerate model deployment time for new products.
- TFT-LCD Defect Detection (Inherited Project) (External Clients)
- Accuracy rate 85-95% (depending on different product lines).
(Improved accuracy rate by 2-8% compared to previous. )
[ Concept Verification ]
- Metal Scratch Detection
- Patent Number: I791970
- Analog Meter Recognition
[ Skill ]
- Deep Learning (Pytorch)
- Transitional CV
- C++ / Python
ADE Technology, Algorithm Engineer, Apr 2016 ~ Jul 2017
[Projects]
- License Plate Recognition System
- Algorithms development
- UI
- Pedestrian Detection
- Algorithms development
- Thermal Image Enhancement
- Transitional CV
- C++ / Python
Genius Vision Digital, Algorithm Engineer, Oct 2014 ~ Feb 2016
[Projects]
- License Plate Algorithms
- People Counting Algorithms
- System Debug and Maintain
- Significantly improve the executive performance of people counting algorithms (Reduce the CPU loading by 50%)
- Transitional CV
- C++
Education
National Chin-Yi University of Technology, 2011 ~ 2013
Master of Computer Science and Information Engineering
National Chin-Yi University of Technology, 2007 ~ 2011
Bachelor of Computer Science and Information Engineering