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
National Taiwan University
Engineer II @SiFive2022 ~ 現在
・
一個月內
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
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
National Taiwan University
・
Mechanical Engineering
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
National Taiwan University
・
Finance Bachelor就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
National Taiwan University
・
Master of Science M.S. Computer Science
Software Engineer @CakeResume2022 ~ 現在
・
Software Engineer
一個月內
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...
就職中
・
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
10 到 15 年
National Taiwan University
・
Computer Science and Information Engineering待業中
全職 / 對遠端工作有興趣
6 到 10 年
National Taiwan University
・
Industrial Engineering
Co-Founder & CEO @portto 門戶科技 | Blocto2019 ~ 現在
・
Project Lead / Tech Lead / Team Lead / Technical Manager
兩個月內
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...
就職中
・
目前沒有興趣尋找新的機會
全職 / 暫不考慮遠端工作
10 到 15 年
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 ~ 現在
・
Algorithm Designer
一年內
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...
就職中
全職 / 對遠端工作有興趣
4 到 6 年
National Taiwan University
・
Industrial Engineering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%]