CakeResume 找人才
進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Taipei, Taiwan
4 到 6 年
University of Taipei
・
Computer Science
Engineer @Trend Micro 趨勢科技2021 ~ 現在
・
Software Engineer
兩個月內
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
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
National Chengchi University
・
Computer Science
曾任
Principal Software Engineer @Optoma2022 ~ 2023
・
Senior Software Engineer
兩個月內
. 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
待業中
・
目前會考慮了解新的機會
全職 / 我只想遠端工作
15 年以上
Feng-Chia University
・
Computer Science全職 / 對遠端工作有興趣
6 到 10 年
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
一個月內
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...
就職中
全職 / 對遠端工作有興趣
4 到 6 年
National Yunlin University of Science and Technology
・
Computer Science and Information Engineering就職中
全職
4 到 6 年
國立中央大學
・
認知與神經科學所
Assistant Technical Manager @Tsann Kuen Enterprise2012 ~ 2013
・
Manager
超過一年
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
就職中
全職 / 對遠端工作有興趣
10 到 15 年
National Taiwan University
・
Master of Science (M.S). Computer Science最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
就職中
求職階段
專業
軟體工程師, 研發, 機器學習工程師
產業
製造, 人工智慧 / 機器學習, 軟體
工作年資
1 到 2 年
管理經歷
無
技能
語言能力
Chinese
・
母語或雙語
English
・
中階
Japanese
・
初階
求職偏好
希望獲得的職位
機器學習、資料科學工程師
預期工作模式
全職
期望的工作地點
Taiwan, 台灣, Taipei, 台灣
遠端工作意願
對遠端工作有興趣
接案服務
是，我利用業餘時間接案
學歷
學校
National Taiwan University
主修科系
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%]