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
Taipei, Taiwan
4 到 6 年
University of Taipei
・
Computer Science
Engineer @Trend Micro 趨勢科技2021 ~ 现在
・
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
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
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
待业中
・
目前会考虑了解新的机会
全职 / 我只想远端工作
15 年以上
Feng-Chia University
・
Computer Science全职 / 对远端工作有兴趣
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...
就职中
全职 / 对远端工作有兴趣
4 到 6 年
National Yunlin University of Science and Technology
・
Computer Science and Information Engineering就职中
全职
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
就职中
全职 / 对远端工作有兴趣
10 到 15 年
National Taiwan University
・
Master of Science (M.S). Computer Science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%]