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4-6 năm
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Hơn 15 năm
National Taiwan University
Engineer II @SiFive2022 ~ Hiện tại
・
Trong vòng một tháng
verify the correctness of clocks and hardware IPs Product Engineer SyntecGroup SepFebHsinchu , Taiwan Develop the motion trajectory control on laser cutting and laser marking machines Improve the gap tracking subsystem to control the tooling gap Provide total solutions to clients to build up the highly automated production line Education National Taiwan University Mechanical EngineeringNational Chung Cheng University Mechanical EngineeringSkills Programming Languages: C/C++, C#, Python, Shell Professions: OOP/Design Pattern, CI/CD Integration, Linux Kernel Certifications & Awards Coursera - Data Structures (UC San Deigo, SepCoursera - Algorithms (UC San Deigo, AugExcellent Work - ARM Design Contest (Sep
Đã có việc làm
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Bật trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
National Taiwan University
・
Mechanical Engineering
Product Manager @SPIN.FASHION, a lablaco company2021 ~ Hiện tại
・
Product Manager
Trong vòng hai tháng
Đã có việc làm
・
Bật trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
National Taiwan University
・
Finance BachelorStaff Backend Engineer @RE:DREAMER Taiwan Co. Ltd2021 ~ Hiện tại
・
Software Engineer
Trong vòng một tháng
Đã có việc làm
・
Bật trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
National Taiwan University
・
Master of Science M.S. Computer Science
Software Engineer @CakeResume2022 ~ Hiện tại
・
Software Engineer
Trong vòng một tháng
APIs with the frontend. RDAA, Microsoft Taiwan 6//2017 Contributed to the PowerPoint Online project, focusing on the feasibility study of replicating desktop app features in the web version, particularly the upload of GIF images. Wrote unit tests using Selenium, contributing to the robustness and reliability of the codebase. Utilized JavaScript and CSS to develop and enhance web application features, with a working knowledge of C#. Independently developed and implemented an interactive web-based game using HTML Canvas, incorporating Microsoft Cognitive Services for advanced facial and emotion detection. Educa...
Reputation Credits1
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Tắt trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
10-15 năm
National Taiwan University
・
Computer Science and Information EngineeringPast
AI Project Coordinator @TSMC2020 ~ Hiện tại
・
雲端工程師，雲端架構師
Hơn một năm
Thất nghiệp
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
National Taiwan University
・
Industrial Engineering
Co-Founder & CEO @portto 門戶科技 | Blocto2019 ~ Hiện tại
・
Project Lead / Tech Lead / Team Lead / Technical Manager
Trong vòng hai tháng
processing livestream efficiently and with low latency. Agoda, Fullstack Engineer, Jun 2016 ~ Mar 2017 Agoda is one of the world’s fastest-growing online travel booking platforms. Established in 2005, the start-up quickly expanded in Asia and was acquired in 2007 by Booking Holdings Inc. – the world’s largest seller of rooms online. I was in the team in charge of building and maintaining the frontend WebApp and backend of Agoda’s booking form. We used C# .Net for backend and Typescript and KnockoutJS for frontend. Yahoo!, Software...
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Tắt trạng thái tìm việc
Full-time / Không quan tâm đến làm việc từ xa
10-15 năm
National Taiwan University
・
Electrical Engineering
Optimization Algorithm Engineer @Taiwan Semiconductor Manufacturing 台灣積體電路製造股份有限公司2020 ~ Hiện tại
・
Algorithm Designer
Trong vòng một năm
such as GA, PSO with Chaos-based initialization, ACO and AFSA(Artificial Fish-Swarm Algorithm) to solve classic benchmark including TSP, assignment problem and bin packing problem. • Experienced in linear programming language such as OOP with Lingo / Cplex package. • Build a fuzzy inference system contains 10+ membership function in C#. • Implement Back Propagation Neural Network in C#. 工作經歷 Industrial Technology Research Institute (ITRI)(工業技術研究院, 工研院), Data Analyst & Optimization Analyst (2nd year), Dec 2017 ~ 現在 Focused on rein...
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Full-time / Quan tâm đến làm việc từ xa
4-6 năm
National Taiwan University
・
Industrial EngineeringKế hoạch tuyển dụng đơn giản và hiệu quả nhất
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Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
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Ability to identify, analyze, and prepare solutions to problems.
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Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
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Ability to convey information effectively and is willing to give and receive feedback.
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Trong vòng sáu tháng
Sr. software engineer (Full Remote) @ Gatos Vision
Gatos Vision
・
2022 ~ Hiện tại
Professional Background
Tình trạng hiện tại
Đã có việc làm
Tiến trình tìm việc
Professions
Software Engineer, Research / R&D, Machine Learning Engineer
Fields of Employment
Sản xuất, Trí tuệ nhân tạo/ Máy học, Phần mềm
Kinh nghiệm làm việc
1-2 năm
Management
Chưa có
Kỹ năng
Ngôn ngữ
Chinese
・
Bản địa hoặc song ngữ
English
・
Trung cấp
Japanese
・
Sơ cấp
Job search preferences
Vị trí
機器學習、資料科學工程師
Loại hình công việc
Full-time
Địa điểm
Taiwan, 台灣, Taipei, 台灣
Làm việc từ xa
Quan tâm đến làm việc từ xa
Freelance
Đúng, tôi là một freelancer nghiệp dư.
Học vấn
Trường học
National Taiwan University
Chuyên ngành
Civil Engineering
Zhao-Yang Zhuang (莊昭陽)
Experience with computer vision, deep learning. I am very passionate about design a novel DL model architecture for real world problems and hope to participate in more types of applications.
ML engineer Data scientist
[email protected] https://www.linkedin.com/in/rogan-zhuang/
Educations
National Taiwan University
Civil Engineering, Computer-Aided Engineering Group (M.S. degree)
(2018 ~ 2020)
Master Thesis:
Deep-learning method assisted crane for sway prediction: Recurrent Kalman Network.
Work Experiences
(Automation Services Co., LTD.) (AI/CV Engineer)
(Feb, 2021 - Oct, 2021)
- The main developer of AI/CV algorithm.
- Compiled the AI/CV part of automatic fabric inspection machine alone from scratch.
Research Experiences
Deep-learning method assisted crane for sway prediction : Recurrent Kalman Network
(Dec, 2019 - Jun, 2020)
Robotic LAB, NTU & 祐彬 Construction Co., Ltd
- Predicting the future position of a payload by RKN to assist in the automation of crane.
- The state of the payload system can be inferred by the combined information between the image pixels.
Tensorflow(Keras) OpenCV Python C/C++ Deep Learning
The second generation of automatic fabric inspection machine
(Feb, 2021 - Apr, 2021)
Automation Services Co., LTD.
- Detecting the defects on the textile by deep learning that efficiency is at least ten times of manual visual inspection.
- Calculate the area and location of defects by semantic segmentation.
- The prototype machine can detect the width of about two meters with eight cameras.
C# Deep Learning
The third generation of automatic fabric inspection machine
(May, 2021 - Oct, 2021)
Automation Services Co., LTD.
- Based on the second-generation inspection machine, all of the features are upgraded, such as image grabbing system, camera calibration system, deep learning framework, thread optimization, etc.
- This mass production machine is online.
- Not implemented using Tensorflow or Pytorch.
Key achievement: 100% detection of defects required by customers, 36x8 frames per second detection speed.
C# Deep Learning Cameras System Multithread Programming
Side Projects
- Image automatic labeling: CNN-base object tracking by Siam-Net. [labeling 90x faster than manual]
- Document layout analyzing: locate file elements (titles, text, pictures, etc.) by image segmentation.
- HousePrice-prediction: Predict the HousePrice in Feature Engineering & Advanced Regression. [Kaggle top 0.04%]
- Flowers classification: Distributed training a CNN to classify 104 kinds of flower pictures. [Kaggle top 0.09%]
Zhao-Yang Zhuang (莊昭陽)
Experience with computer vision, deep learning. I am very passionate about design a novel DL model architecture for real world problems and hope to participate in more types of applications.
ML engineer Data scientist
[email protected] https://www.linkedin.com/in/rogan-zhuang/
Educations
National Taiwan University
Civil Engineering, Computer-Aided Engineering Group (M.S. degree)
(2018 ~ 2020)
Master Thesis:
Deep-learning method assisted crane for sway prediction: Recurrent Kalman Network.
Work Experiences
(Automation Services Co., LTD.) (AI/CV Engineer)
(Feb, 2021 - Oct, 2021)
- The main developer of AI/CV algorithm.
- Compiled the AI/CV part of automatic fabric inspection machine alone from scratch.
Research Experiences
Deep-learning method assisted crane for sway prediction : Recurrent Kalman Network
(Dec, 2019 - Jun, 2020)
Robotic LAB, NTU & 祐彬 Construction Co., Ltd
- Predicting the future position of a payload by RKN to assist in the automation of crane.
- The state of the payload system can be inferred by the combined information between the image pixels.
Tensorflow(Keras) OpenCV Python C/C++ Deep Learning
The second generation of automatic fabric inspection machine
(Feb, 2021 - Apr, 2021)
Automation Services Co., LTD.
- Detecting the defects on the textile by deep learning that efficiency is at least ten times of manual visual inspection.
- Calculate the area and location of defects by semantic segmentation.
- The prototype machine can detect the width of about two meters with eight cameras.
C# Deep Learning
The third generation of automatic fabric inspection machine
(May, 2021 - Oct, 2021)
Automation Services Co., LTD.
- Based on the second-generation inspection machine, all of the features are upgraded, such as image grabbing system, camera calibration system, deep learning framework, thread optimization, etc.
- This mass production machine is online.
- Not implemented using Tensorflow or Pytorch.
Key achievement: 100% detection of defects required by customers, 36x8 frames per second detection speed.
C# Deep Learning Cameras System Multithread Programming
Side Projects
- Image automatic labeling: CNN-base object tracking by Siam-Net. [labeling 90x faster than manual]
- Document layout analyzing: locate file elements (titles, text, pictures, etc.) by image segmentation.
- HousePrice-prediction: Predict the HousePrice in Feature Engineering & Advanced Regression. [Kaggle top 0.04%]
- Flowers classification: Distributed training a CNN to classify 104 kinds of flower pictures. [Kaggle top 0.09%]