CakeResume 找人才
进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
National Taiwan University
Engineer II @SiFive2022 ~ 现在
・
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
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
National Taiwan University
・
Mechanical Engineering
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
National Taiwan University
・
Finance Bachelor就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
National Taiwan University
・
Master of Science M.S. Computer Science
Software Engineer @CakeResume2022 ~ 现在
・
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...
就职中
・
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
10 到 15 年
National Taiwan University
・
Computer Science and Information Engineering待业中
全职 / 对远端工作有兴趣
6 到 10 年
National Taiwan University
・
Industrial Engineering
Co-Founder & CEO @portto 門戶科技 | Blocto2019 ~ 现在
・
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...
就职中
・
目前没有兴趣寻找新的机会
全职 / 暂不考虑远端工作
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 ~ 现在
・
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...
就职中
全职 / 对远端工作有兴趣
4 到 6 年
National Taiwan University
・
Industrial Engineering最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
专业背景
目前状态
就职中
求职阶段
专业
软体工程师, 研发, 机器学习工程师
产业
制造, 人工智能 / 机器学习, 软件
工作年资
1 到 2 年
管理经历
无
技能
语言能力
Chinese
・
母语或双语
English
・
中阶
Japanese
・
初阶
求职偏好
希望获得的职位
機器學習、資料科學工程師
预期工作模式
全职
期望的工作地点
Taiwan, 台灣, Taipei, 台灣
远端工作意愿
对远端工作有兴趣
接案服务
是，我利用业余时间接案
学历
学校
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%]