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4-6 năm
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Hơn 15 năm
Taipei, Taiwan
4-6 năm
University of Taipei
・
Computer Science
Engineer @Trend Micro 趨勢科技2021 ~ Hiện tại
・
Software Engineer
Trong vòng hai tháng
CD: Using GitHub Action to trigger product build and deploying package when the package is output successfully. BlockChain Security Corp, Programmer, May 2020 ~ Oct 2021 Developed Web App Penetration Testing Platform: Developed a website on Internet Information Services (IIS) using .NET Framework. Built databases to store user data, penetrating data, and penetrating syntaxes on a SQL Server. Integrated APIs of third-party penetration testing tools, e.g. ZAP and SQL Map. Solved the load balance and the upper limit issues of ZAP scanning using multi-threading. Maintained Endpoint Detection and Response (EDR
Đã có việc làm
・
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
National Chengchi University
・
Computer Science
Past
Principal Software Engineer @Optoma2022 ~ 2023
・
Senior Software Engineer
Trong vòng hai tháng
. 5. Host study group to encourage self-learning and knowledge sharing. 6. Product: XDR (includes Workbench, Observed Attack Techniques, and Managed XDR). - Visualization with SVG(d3) and canvas (pixi) to draw a graph for attack root cause analysis. - T able Virtualization to display big data with non-fixed height and a smooth UI. - UI sliding query to mitigate big data query timeout issues. - Microfrontend implementation with qiankun. - Transfer legacy javascript to typescript. - Replace legacy Redux with Context API - Create FIPS-compliant nodejs docker image for deployment on Azure Government Cloud
Thất nghiệp
・
Bật trạng thái tìm việc
Full-time / Chỉ làm việc từ xa
Hơn 15 năm
Feng-Chia University
・
Computer ScienceFull-time / Quan tâm đến làm việc từ xa
6-10 năm
台北市立大學
・
資訊科學
Back-End Engineer(php web developer) @潔客幫2019 ~ 2021
・
Front-End / Back-End / Full Stack Web Developer
Trong vòng một tháng
and Cloud SQL, optimizing system scalability and availability. Skilled in Docker and Jenkins environment setup, CI, and Git version control, improving the development workflow and team collaboration. Successfully refactored the company's main order service architecture and upgraded to PHP 7.4 and Laravel 6, resolving compatibility issues with packages and syntax and improving system performance Redesigned the order data table structure to improve normalization and reduce complexity, enhancing data management and processing efficiency. Experienced in integrating payment APIs such as AFTEE, TAPPAY, and newebpay, enabling seamless and secure payment processing for custo...
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Full-time / Quan tâm đến làm việc từ xa
4-6 năm
National Yunlin University of Science and Technology
・
Computer Science and Information EngineeringCustomer Engineer @iKala 愛卡拉互動媒體股份有限公司2022 ~ Hiện tại
・
Trong vòng hai tháng
Đã có việc làm
Full-time
4-6 năm
國立中央大學
・
認知與神經科學所
Assistant Technical Manager @Tsann Kuen Enterprise2012 ~ 2013
・
Manager
Hơn một năm
to customer's. # Wrapper System - app encryption/DRM mechanism, including PC-VR engine unity/unreal and Mobile-VR android . Principal Engineer • HTC 十月五月 2017 HTC VR Viveport BE Engineer. Backend Service 1. Content Management System (CMS) - viveport store app content data manager system. 2. Gamification - stats and achievement system. 3. Payment - shopping cart. 4. Beta Testing - private beta testing system for developer. Architecture Design 1. Overall system architecture: content management, content review flow. 2. Client-Server communication flow and provide
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Full-time / Quan tâm đến làm việc từ xa
10-15 năm
National Taiwan University
・
Master of Science (M.S). Computer ScienceKế hoạch tuyển dụng đơn giản và hiệu quả nhất
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UI designer -UX
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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.
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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.
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
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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%]