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CakeResume Talent Search

上級
On
面接の用意ができています
就職希望
就職を希望していません
Taiwan
台灣
Taipei City, Taiwan
Taipei, Taiwan
台北市, 台灣
Hsinchu City, Taiwan
Japan
Tokyo, Japan
Hsinchu County, Taiwan
New Taipei City, Taiwan
Taoyuan City, Taiwan
新北市, 台灣
新竹市, 台灣
桃園市, 台灣
IT
Design
Engineering
HR
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Management / Business
Manufacturing
Marketing / Advertising
技術
広告／マーケティング／代理店
建築
教育／訓練／採用
工業
法規／法律
1年未満
1〜2年
2〜4年
4〜6年
6〜10年
10〜15年
15年以上
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National Taiwan University
National Central University
National Chengchi University
National Chiao Tung University
中原大學
國立中央大學 National Central University
National Cheng Kung University
National Taipei University of Technology
National Taiwan University of Science and Technology
National Tsing Hua University
Taiwan
台灣
Taipei City, Taiwan
台北市, 台灣
Japan
New Taipei City, Taiwan
Taoyuan City, Taiwan
United States
新北市, 台灣
日本
桃園市, 台灣
China
England, Great Britain
England, United Kingdom
Great Britain
Hsinchu City, Taiwan
Hsinchu County, Taiwan
Norway
Singapore
Thailand
フルタイム
パートタイム
JavaScript
Docker
Python
C++
Excel
React.js
Spark
JAVA
Node.js
PostgreSQL
No
Yes
1-5 people
5-10 people
10-15 people
15+ people
1ヶ月以内
2ヶ月以内
6ヶ月以内
1年以内
1年以上
Project Lead / Tech Lead / Team Lead / Technical Manager
Senior Software Engineer
Software Engineer / Backend Engineer
Algorithm Designer
Backend Engineer, Data Engineer, MLOps Engineer
Business Development/ Sales/ Manager/ Director
Business Intelligence, Data Analyst, Strategy Planning
Data scientist
Ethics Compliance manager, Compliance manager
Front-End Engineer 網頁前端工程師
Bachelor of Science (BS)
Bachelor’s Degree
Master of Business Administration (MBA)
Master of Science (MS)
Master’s Degree
Non-Degree Program (e.g. Coursera certificate)
Bachelor
Master
2016
2015
2014
2013
2012
2011
2010
2008
2006
1998
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17 Media
Agoda
COBINHOOD
DEXON Foundation
Yahoo!
portto 門戶科技 | Blocto
17LIVE
A10 Networks 睿科網路科技有限公司
AIBDT
AMT PostPro
リモートワークに興味あり
リモートワークに興味なし
リモートワークのみ
フルタイムのフリーランス
パートタイムのフリーランス
非フリーランス
Chinese - ネイティブまたはバイリンガル
English - 流暢
English - ビジネスレベル
English - 中級者
Japanese - 初心者
Japanese - 中級者
English
Chinese
4〜6年
6〜10年
10〜15年
15年以上
National Taiwan University
  • 既読の検索結果を除く
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Avatar of Leo Wu.
Avatar of Leo Wu.
Leo Wu
Senior Front-End Engineer @TonFura
・
2023 ~ 現在
Front-End engineer / Full-stack engineer
1ヶ月以内
various devices. Achieved over 80% unit testing coverage to enhance code reliability and maintainability. Provided valuable feedback to project management and UI design teams for continuous improvement of user experience. Orchestrated the migration of web applications to a monorepo architecture to adapt to a microservices approach, ensuring scalability and modularity. Role: Lead developer Stacks: Turborepo, Next.js, React, TypeScript, Tailwind CSS, CSS Modules, Material UI, Highcharts, Jest and GraphQL Single-handedly led the development of the Tonfura SDK package, recognized as the pinnacle of TypeScript SDKs for seamless interaction with the TON blockchain. This
JavaScript
HTML5
CSS3
就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
6〜10年
National Taiwan University
・
Computer Science and Information Engineering
Avatar of the user.
Avatar of the user.
課金ユーザー企業は利用可能
Controls/Software Engineer @CYTENA BPS
・
2022 ~ 現在
Software Engineer / Backend Engineer
1ヶ月以内
Word
Google Drive
Project Management
就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
6〜10年
National Taiwan University
・
Computer Science
Avatar of 陳昭儒.
Avatar of 陳昭儒.
陳昭儒
Past
Data Engineer @BUBBLEYE | We're hiring!
・
2021 ~ 2022
Software Enginer
1ヶ月以内
at peak. The data inserted into BigQuery was: Table size:GB Number of rows: 6,268,519,176 Qudowe Project Lead & Software Engineer Product of Pixnet Travel Hackathon 2019, a trip planner based on Instagram's data Work Experience Vpon, Data Engineer Aug 2018 ~ Oct 2020 Implement Akka-http(Scala) server endpoints for Vpon Data Platform Product Create new ETL pipelines using GCP Spark(Apache Spark) and GCP Dataflow(Apache Beam) to batch input/output hundreds of files Migrate existing ETL pipelines from AWS(Hive SQL) to GCP(BigQuery SQL) using python Migrate datawarehouse from AWS(Hive) to
Python
ETL
Web Scraping
無職
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
National Taiwan University
・
電機工程學系
Avatar of Kevin Hsu.
Avatar of Kevin Hsu.
Kevin Hsu
Engineer II @SiFive
・
2022 ~ 現在
1ヶ月以内
stressing for all the units/modules of core IPs Design and implement self-checking routines in the midst of every test programs Triage hardware design errors and revise the methodology of verification Sr. Embedded Software Engineer Phison Electronics Corps. MarAugNew Taipei, Taiwan Design and develop stable and scalable HAL APIs for high level software development on PCIe 4.0 enterprise SSD Introduce GitLab CI/CD automation to monitor and verify the stability and correctness of the software on the SSD Design test plans and implement test procedures to verify the correctness of clocks and hardware
就職中
・
就職希望
フルタイム / リモートワークに興味あり
4〜6年
National Taiwan University
・
Mechanical Engineering
Avatar of Chin-Hung (Wilson) Liu.
Avatar of Chin-Hung (Wilson) Liu.
Chin-Hung (Wilson) Liu
Principal Engineer, Data Engineering @KKCompany
・
2023 ~ 現在
Backend Engineer, Data Engineer, MLOps Engineer
1ヶ月以内
Chin-Hung (Wilson) Liu I am a lead architect responsible for designing and implementing a large-scale data pipeline for Lomotif, Paktor x 17LIVE, utilizing GCP/AWS/Python/Scala, in collaboration with data science and machine learning teams in Singapore and TW HQ, as well as with the Hadoop ecosystem (HDFS/HBase/Kafka) at JSpectrum in Hong Kong and Sydney. With over 15 years of experience in designing and developing Java/Scala/Python-based applications for daily operations, I bring: ● At least 8 years of experience in data analysis, pipeline design
Big Data
Data Engineering
ETL
就職中
・
就職希望
フルタイム / リモートワークに興味あり
10〜15年
National Taiwan University
・
EMBA Programs, Business Administration, Accounting, Finance and International Business.
Avatar of Connor Hsu.
Avatar of Connor Hsu.
Connor Hsu
Software Engineer @SmartNews
・
2019 ~ 現在
數據分析 / 資料工程
1ヶ月以内
Connor Hsu Curious about data and real world, building product to solve problem, making machine learning into product, writing is my interest. [email protected] Summary 9 years experience of large scale AI product building, and is capable of building product from scratch. Extensive problem solving experience for data science/engineering, and familiar with transferring real problem into requirements and solution planning. A well-rounded engineer in data project who bridges the gap between scientists and engineers. A pragmatic and ownership driven person, experienced with gap analysis, migration plan and release
Python
Scala
Spark
就職中
・
就職を希望していません
フルタイム / リモートワークに興味あり
4〜6年
National Taiwan University
・
Computer Science
Avatar of the user.
Avatar of the user.
課金ユーザー企業は利用可能
Mobile Architect @Rakuten
・
2019 ~ 現在
Senior Android Engineer
1ヶ月以内
Android
就職中
・
就職を希望していません
フルタイム / リモートワークに興味あり
6〜10年
National Taiwan University
・
Master degree Computer Science
Avatar of Conrad Lan.
Avatar of Conrad Lan.
Conrad Lan
CakeResume Premium Badge
Backend Engineer @Cooby
・
2022 ~ 2023
1ヶ月以内
www.linkedin.com/in/conrad-lana4/ ▶ three+ years of backend engineer in python/golang 工作經歷 Backend Engineer • Cooby 四月八月 2023 | Taipei, Taiwan I am a backend engineer with a track record of designing and implementing robust, scalable, and cost-effective infrastructure solutions for web applications. My core competencies include: - AWS Infrastructure: Successfully migrated the Cooby backend infrastructure from Heroku to AWS, establishing a unified management system using Terraform for streamlined administration. Designed a highly available and scalable architecture utilizing AWS ECS to ensure optimal
Communication
就職中
・
就職を希望していません
フルタイム / リモートワークに興味あり
4〜6年
National Taiwan University
・
Communication Engineering
Avatar of the user.
Avatar of the user.
課金ユーザー企業は利用可能
CEO @Pelith
・
2021 ~ 現在
1ヶ月以内
就職中
・
就職を希望していません
6〜10年
National Taiwan University
・
Network and Multimedia (CS)
Avatar of Chinwei Hsu.
Avatar of Chinwei Hsu.
Chinwei Hsu
Frontend Engineer @Web3 DeFi protocol
・
2022 ~ 現在
Front-End Engineer 網頁前端工程師
1年以内
experience, I have a strong background in developing and maintaining web projects using the React.js ecosystem, including technologies such as React, React Hooks, Redux, React-Saga, Next.js, and GraphQL. I have also worked with Material UI, Chakra UI, webpack and SASS to create optimized and scalable applications. In addition to my expertise in React, I have also gained experience with the Vue.js ecosystem, including tools such as Vuex, Vue-Router, and Vuetify. I am comfortable working with both frameworks and have used them to deliver successful projects in the past.
Vue.js
JavaScript
HTML5
就職中
フルタイム / リモートワークのみ
4〜6年
National Taiwan University
・
Geography

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6ヶ月以内
Avatar of Zhao-Yang Zhuang.
Zhao-Yang Zhuang
Sr. software engineer (Full Remote) @ Gatos Vision
Gatos Vision
・
2022 ~ 現在
Taiwan
Professional Background
現在の状況
就職中
求人検索の進捗
Professions
Software Engineer, Research / R&D, Machine Learning Engineer
Fields of Employment
Manufacturing, 人工知能／機械学習, ソフトウェア
職務経験
1〜2年
Management
なし
スキル
Python
C++
Tensorflow (Keras)
OpenCV
Revit
Deep Learning
Artificial Intelligence
mechine learning
Computer Vision
Halcon
言語
Chinese
・
ネイティブまたはバイリンガル
English
・
中級者
Japanese
・
初心者
Job search preferences
希望のポジション
機器學習、資料科學工程師
求人タイプ
フルタイム
希望の勤務地
Taiwan, 台灣, Taipei, 台灣
リモートワーク
リモートワークに興味あり
Freelance
はい、私はアマチュアのフリーランスです。
学歴
学校
National Taiwan University
専攻
Civil Engineering
印刷
W8pta5tkps8w1p7ljk0l

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/

  https://github.com/ZhuangRogan

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.

University@2x

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.
Key achievement: Assists the automation of the crane in a new way, and does not require any physical parameters but only image data of the payload. RKN, the new time-series forecasting architecture will be 10x better than LSTM.

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%]
Resume
プロフィール
印刷
W8pta5tkps8w1p7ljk0l

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/

  https://github.com/ZhuangRogan

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.

University@2x

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.
Key achievement: Assists the automation of the crane in a new way, and does not require any physical parameters but only image data of the payload. RKN, the new time-series forecasting architecture will be 10x better than LSTM.

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%]