CakeResume Talent Search

Advanced filters
On
4-6 years
6-10 years
10-15 years
More than 15 years
Avatar of Alex Yu.
Avatar of Alex Yu.
Product Manager @Linker Vision
2023 ~ Present
PM/產品經理/專案管理
Within one month
detection, segmentation, and classification AI scenario. Good communication skills with doctors' demands and collaboration with colleagues. Patent Disclosure: Ultrasound detect and notify system. (serial number: I學歷 SepJun 2 National Taiwan University of Science and Technology Masters in Electrical Engineering Thesis "Online Data Stream Analytics for Dynamic Environments Using Self-Regularized Learning Framework", IEEE journal SepJun 2020 Yuan Ze University Bachelor in Electrical Engineering Skills Customer/VC negotiation and customer services DL/ML/AI algorithm, keen problem solving 3D modeling (Blender) Python, Matlab, Tensorflow, Keras Object detection, Classification, Segmentation[email protected]
Business Development
Deep Learning
PYTHON
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣科技大學 National Taiwan University of Science and Technology
電機工程
Avatar of Yi Ling.
Avatar of Yi Ling.
Team Lead @工業技術研究院
2020 ~ Present
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
發: 3~5人團隊 面試與新進人員訓練: 正職、工讀生 跨團隊技術合作: 其他部門、國內外公司、學校 技術研發 影像深度學習技術: Object Detection, Image Segmentation, Depth Estimation 多重感測器融合技術: RGB Camera, Thermal Image Camera and LiDAR Sensor Fusion 模型精準度與效能優化: 平行處理、GPU加速優化 跨平台AI建置與
C++
Python
Deep Learning
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Chung Cheng University
資訊工程學所
Avatar of the user.
Avatar of the user.
AI應用工程師 @碁仕科技
2018 ~ Present
軟體工程師
Within one month
Python
Reinforcement Learning
Computer Vision
Studying
Intern / Interested in working remotely
4-6 years
長榮大學
企管系

The Most Lightweight and Effective Recruiting Plan

Search resumes and take the initiative to contact job applicants for higher recruiting efficiency. The Choice of Hundreds of Companies.

  • Browse all search results
  • Unlimited access to start new conversations
  • Resumes accessible for only paid companies
  • View users’ email address & phone numbers
Search Tips
1
Search a precise keyword combination
senior backend php
If the number of the search result is not enough, you can remove the less important keywords
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
Only public resumes are available with the free plan.
Upgrade to an advanced plan to view all search results including tens of thousands of resumes exclusive on CakeResume.

Definition of Reputation Credits

Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Within six months
Sr. software engineer (Full Remote) @ Gatos Vision
Gatos Vision
2022 ~ Present
Taiwan
Professional Background
Current status
Employed
Job Search Progress
Professions
Software Engineer, Research / R&D, Machine Learning Engineer
Fields of Employment
Manufacturing, Artificial Intelligence / Machine Learning, Software
Work experience
1-2 years
Management
None
Skills
Python
C++
Tensorflow (Keras)
OpenCV
Revit
Deep Learning
Artificial Intelligence
mechine learning
Computer Vision
Halcon
Languages
Chinese
Native or Bilingual
English
Intermediate
Japanese
Beginner
Job search preferences
Positions
機器學習、資料科學工程師
Job types
Full-time
Locations
Taiwan, 台灣, Taipei, 台灣
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
National Taiwan University
Major
Civil Engineering
Print
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
Profile
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%]