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4-6 tahun
6-10 tahun
10-15 tahun
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Taipei, Taiwan
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Data Science @Alfred Labs.
2017 ~ Sekarang
Dalam dua bulan
Python
R
SQL
4-6 tahun
University of Taipei
Computer Science
Avatar of 白紋愷.
Avatar of 白紋愷.
Engineer @Trend Micro 趨勢科技
2021 ~ Sekarang
Software Engineer
Dalam dua bulan
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
C/C++
SQL
Git
Sudah bekerja
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
National Chengchi University
Computer Science
Avatar of Bryan Lin.
Avatar of Bryan Lin.
Past
Principal Software Engineer @Optoma
2022 ~ 2023
Senior Software Engineer
Dalam dua bulan
. 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
React.js
AWS
Azure
Tidak bekerja
Terbuka untuk peluang
Full-time / Hanya bekerja jarak jauh
Lebih dari 15 tahun
Feng-Chia University
Computer Science
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資深程式設計師 @緯創軟體股份有限公司
2022 ~ Sekarang
程式設計師
Dalam satu bulan
JavaScript
JavaScript / ES6 / jQuery
HTML/CSS
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
台北市立大學
資訊科學
Avatar of 黃偉傑.
Avatar of 黃偉傑.
Back-End Engineer(php web developer) @潔客幫
2019 ~ 2021
Front-End / Back-End / Full Stack Web Developer
Dalam satu bulan
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...
PHP
MySQL
JavaScript
Sudah bekerja
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
National Yunlin University of Science and Technology
Computer Science and Information Engineering
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Customer Engineer @iKala 愛卡拉互動媒體股份有限公司
2022 ~ Sekarang
Dalam dua bulan
nlp machine learning
+python
AI & Machine Learning
Sudah bekerja
Full-time
4-6 tahun
國立中央大學
認知與神經科學所
Avatar of Ivan Lo.
Avatar of Ivan Lo.
Assistant Technical Manager @Tsann Kuen Enterprise
2012 ~ 2013
Manager
Lebih dari satu tahun
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
People Management
Problem Solving
Learning Skills
Sudah bekerja
Full-time / Tertarik bekerja jarak jauh
10-15 tahun
National Taiwan University
Master of Science (M.S). Computer Science

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Dalam enam bulan
Sr. software engineer (Full Remote) @ Gatos Vision
Gatos Vision
2022 ~ Sekarang
Taiwan
Latar Belakang Profesional
Status sekarang
Sudah bekerja
Tahap pencarian kerja
Profesi
Software Engineer, Research / R&D, Machine Learning Engineer
Bidang Pekerjaan
Manufaktur, Intelegensi Artifisial/Pemelajaran Mesin, Software
Pengalaman Kerja
1-2 tahun
Management
Tidak ada
Keterampilan
Python
C++
Tensorflow (Keras)
OpenCV
Revit
Deep Learning
Artificial Intelligence
mechine learning
Computer Vision
Halcon
Bahasa
Chinese
Bahasa ibu atau Bilingual
English
Menengah
Japanese
Pemula
Preferensi Pencarian Pekerjaan
Jabatan
機器學習、資料科學工程師
Tipe Pekerjaan
Full-time
Lokasi
Taiwan, 台灣, Taipei, 台灣
Bekerja jarak jauh
Tertarik bekerja jarak jauh
Freelance
Ya, saya adalah freelancer amatir.
Pendidikan
Institusi Pendidikan
National Taiwan University
Jurusan
Civil Engineering
Cetak
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%]
CV
Profil
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%]