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Avatar of 黃祐謙.
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TPM @全盈支付金融科技股份有限公司
2020 ~ Present
Android App Developer, iOS App Developer
Within one month
使用 Azure DevOps Services 進行專案排程、工作派發 產品資訊:https://www.beanfun.com/ 資訊部 iOS Developer(副理) • 商周集團 十一月七月擔任 iOS developer - 使用 XcodeSwift4.2、CocoaPods 、MVVM 架構進行開發 - 使用 Fabric 進行 iOS App 的發布測試 - 與需求單位進行協調,協助進行產品的規劃與開發 - 與後端單位
Python
Asana
Android app Developer
Employed
Open to opportunities
Full-time / Interested in working remotely
10-15 years
私立世新大學
資訊傳播所產業碩士專班
Avatar of 吳思賢.
Avatar of 吳思賢.
iOS App開發工程師 @康福旅行社(可樂旅遊)
2018 ~ Present
iOS 工程師
Within six months
功能。 具Scrum經驗,與其他部門同步轉案進度。 具專案從0到上架經驗。 目前於可樂新創團隊,開發 App。 iOS developer Taipei,TW [email protected] Skills iOS Xcode Swift MVC 、MVP、MVVM UnitTest、UiTest Xcode cloud CI / CD iOS SDK RESTful API TestFlight 套件 Cocoapods SPM Firebase Google Alamofire RxSwift RxCocoa FB 第三方金流(TpaPay、HiTrustPay) Map (Apple、Google) Git 版本控管 Github、GitLab、Bitbucket with SourceTree 工作經
Swift
Objective-C
Xcode
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
明志科技大學
電子工程
Avatar of the user.
Avatar of the user.
資安工程師 @GSS 叡揚資訊股份有限公司
2023 ~ 2024
iOS Developer
Within one month
Swift/iOS
Xcode - Swift
Firebase
Employed
Not open to opportunities
Full-time / Not interested in working remotely
6-10 years
龍華科技大學
機械工程
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Avatar of the user.
Golang / ios工程師 @奕特資訊
2021 ~ Present
Golang工程師
Within two months
android app
Xcode - Swift
Android Studio
Employed
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
義守大學
資訊管理
Avatar of the user.
iOS developer
Within six months
Troubleshooting
Swift/iOS
Xcode - Swift
Employed
Full-time / Not interested in working remotely
4-6 years
IAU - Sari Branch
Computer Engineering
Avatar of Mohamed Adel.
Avatar of Mohamed Adel.
Senior React native developer @Aqwas - Saudi Arabia
2020 ~ Present
Senior React native developer
Within one month
Mohamed Adel Senior React Native developer Egypt Experienced and dedicated full stack mobile app developer offering more than 7 years of expertise to the IT industry. Dynamic and personable with strong focus on application lifecycle. Strengths in cross-platform mobile development with React Native. [email protected] Faculty of computers and information Computer scienceSkills Android Studio React.js XcodeSwift JavaScript React Native Redux.js RestFull Api Github/ Bitbucket/Gitlab React hooks Expo Framework MongoDB Typescript Firebase Node.js/Express.js Google APIs Integration Scrum /
React Native
Java
Node.js
Employed
Full-time / Interested in working remotely
4-6 years
Faculty of computers and information
Computer science
Avatar of 謝宗穎.
Avatar of 謝宗穎.
行動開發工程師 @華廣生技股份有限公司
2018 ~ 2019
iOS App工程師
Within six months
人協作開發產品。 希望做出能解決實際問題的產品,不排斥學習任何新的框架和技術。 [email protected] 技能 熟悉 iOS SDK, Xcode整合環境,Objective-C/Swift, 有 Apple Store 上架經驗。 瞭解 Android 開發,有 Google Play 上架經驗。 瞭解網頁前端開發。有使用 python + flask 開發網站的經驗。 瞭
Xcode - Swift
Mobile Development
Python
Employed
Remote Only
6-10 years
廣州中山大學
數位媒體設計系
Avatar of Ajinkya Sharma.
Avatar of Ajinkya Sharma.
Sr. iOS Engineer @iOS Contractor @ Dating app
2023 ~ Present
Sr. iOS Developer
Within one month
Ajinkya Sharma I have over 8 years of experience as an iOS Developer. I have helped transform business requirement into optimal and maintainable solutions. I help bridge the gap between peer/junior developers and project managers, by providing swift communication, adhering plans and schedules and ensuring quality norms are followed throughout development process Sr. iOS Developer Taipei, TW [email protected] Work Experience Rolo Innovations, iOS Team Lead, Sept 2019 ~ Present iOS Team Lead since SeptemberDeveloped the app from scratch, implementing the Blackberry’s Spark SDK for chat. Lead a team of 3
Xcode - Swift
cocoapods
IOS Development
Employed
Full-time / Interested in working remotely
6-10 years
AISSMS's IOIT, Pune, India
Computer Science
Avatar of Hadi Yaacoub.
Avatar of Hadi Yaacoub.
Past
Senior iOS Developer @Telecloud Vision
2021 ~ 2022
More than one year
Singelton, Delegation, Decorator, Facade, Factory, Builder, and Observer . FreelancerPresent I have worked with different teams to deliver 15+ projects as a freelancer sinceI also managed a team of 4 developers (Android-Backend-Frontend) to deliver high-level projects like Nojoom by Ooreedoo Qatar, Lowcal, Tunes by Korek Iraq, and Avenues Kuwait... EducationDropped from LIU after 2 years of studying Computer Science. Self-taught iOS Development. Computer Science Skills Languages Xcode - Swift Git Firebase Architecture & Design Patterns Fast passionate learner Good at: Python, scripting, Objective-c, java, C#, and electron...
Xcode - Swift
Git
Firebase
Unemployed
Full-time / Remote Only
4-6 years
Dropped from LIU after 2 years studying Computer Science. Self taught.
Computer Science
Avatar of Rashmi Keshavappa.
Avatar of Rashmi Keshavappa.
Senior Consultant @Deloitte Digital
2019 ~ Present
Senior Consultant
More than one year
Rashmi Keshavappa Senior Consultant [email protected],Senior Consultant with 8 years of IT experience in design, development and implementation of enterprise iOS mobile applications. She has extensive knowledge in working on Class 2 medical device applications from technical design, architecture, development and documentation for FDA approval process. She is well exposed to agile methodology, passionate to learn new technologies and frameworks in mobility and apply the same in the new projects to achieve the maximum customer satisfaction. A great team leader who understands the team strength and weakness to streamline the workflow resulting in
Project Development
Great Team Player
Development and Implementation
Employed
Full-time / Not interested in working remotely
6-10 years
Sri Venkateshwara College of Engineering
Bachelors of Electronics and Communication

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AI醫學影像研發工程師 @ 太豪生醫股份有限公司
太豪生醫股份有限公司
2020 ~ Present
Professional Background
Current status
Employed
Job Search Progress
Not open to opportunities
Professions
Software Engineer
Fields of Employment
Software
Work experience
2-4 years
Management
None
Skills
AI & Machine Learning
Computer Vision
Languages
Job search preferences
Positions
Job types
Full-time
Locations
Remote
Interested in working remotely
Freelance
No
Educations
School
東吳大學 Soochow University
Major
物理學系
Print

Pei-Jie Wang

TaiHao Medical Inc. | AI/ML Engineer - Medical Imaging

Soochow University | Bachelor of Science in Physics

+886 988620772

[email protected] 

Projects


API Development: Breast Ultrasound Computer-Aided Detection

AI Automatically Detects the Location of Breast Ultrasound Lesions


Data Augmentation Using Learned Transformations for One-shot Biomedical Image Segmentation of Five Regions In Mouse Brain


An Accurate Segmentation Method based on Deep Convolutional Neural Networks for Functional Regions in Mouse Brain

An Automatic Neuronal Morphology Segmentation Method for Identification of Dendritic Spines

A Development of High-Content Subcellular Image Processing DLL  (Co-worker: Yi-De Chen)

Skills

Machine Learning


  • Yolo
  • U-Net
  • Transfer Learning
  • Machine Learning


(TensorFlow, Keras, Pytorch)

Computer Vision


  • OpenCV
  • Image Segmentation
  • Image Recognition
  • Algorithm Development


#Python #Software Programming #C++

Software Integration


  • Docker
  • PyInstaller
  • Cython
  • Python
  • Linux

#Python #Linux #Software Programming

Cascade API


  • Python Flask
  • Postman API
  • Python


#Python #Software Integration Test #Function Test

Software and Hardware Integration


  • C++
  • LabVIEW
  • Python
  • DLL

 #C++ #LabVIEW #Visual Studio

iOS APP


  • Xcode
  • Swift


#iOS #SWIFT #Software Programming

Work Experience

AI/ML Engineer - Medical Imaging  •  TaiHao Medical Inc., Taiwan

Aug 2020 - Present

1. Develop the AI that automatically detects the location of breast ultrasound lesions.

2. Optimize the AI model. By improving the sensitivity and decreasing the FP (False Positive). Moreover, accelerate the software programming.

3. Deploy the AI model to other system environments.

4. Develop an API for breast ultrasound computer-aided detection. Collaborate with front-end engineering and assist in software integration to productized service software.

5. Collaborate with foreign engineers, launching our products abroad.

Undergraduate Research Assistant •  Institute of Atomic and Molecular Sciences, Academia Sinica, Taiwan

Mar 2018 - Feb 2019

1. Develop the AI image segmentation model by using machine learning and deep learning.

2. Develop image recognition-related products and applications for the laboratory by using computer vision to detect the specific part.

3. Improve the neural network model to adapt to the high complexity of medical imaging and other related issues.

4. Develop image segmentation and recognition algorithms, and produce a dynamic-link library to integrate into an opto-electro-mechanical system.

Publication

1.

Wang, P.-J., Chou, S.-J., Liao, J.-C.(2020) One-Shot transfer learning of region of mouse brain. 2020 Focus on Microscopy, Japan

2.

Zhang, X., Li, Z., Wang, P.-J., Liao, K.Y. Chou, S.-J., Chang, S.-F., Liao, J.-C.(2019) One-shot learning for function-specific region the segmentation in mouse brain. Proceedings of 2019 IEEE 15th International Symposium on Biomedical Imaging, Italy

3.

Chen, Y.-D., Chang, C.-W., Chung, C.-W., Wang, P.-J., Kai, H.-J., Luo C.-H., Yu, H.-H., Liao,J.-C.(2018) High-throughput, in-situ photoaffinity tagging of biomolecules via [Ru(bpy)3]2+ and two-photon microscopy. 2018 7th EuCheMS Chemistry Congress, UK

Awards & Honors

1.

Dec 2019

Excellence Award (Top 5), Innovation Services Group, 2019 CTCI (China Technical Consultants Inc.) Foundation Artificial Intelligence Innovation Competition in Taiwan

2.

Dec 2019

Academic Excellence Award, Ranked #1 in the Department of Physics, Soochow University, 2019 Spring semester

3.

May 2019

Academic Excellence Award, Ranked #1 in the Department of Physics, Soochow University, 2018 Fall semester

4.

Dec 2018

Academic Excellence Award, Ranked #1 in the Department of Physics, Soochow University, 2018 Spring semester

5.

May 2018

Academic Excellence Award, Ranked #3 in the Department of Physics, Soochow University, 2017 Fall semester

Resume
Profile

Pei-Jie Wang

TaiHao Medical Inc. | AI/ML Engineer - Medical Imaging

Soochow University | Bachelor of Science in Physics

+886 988620772

[email protected] 

Projects


API Development: Breast Ultrasound Computer-Aided Detection

AI Automatically Detects the Location of Breast Ultrasound Lesions


Data Augmentation Using Learned Transformations for One-shot Biomedical Image Segmentation of Five Regions In Mouse Brain


An Accurate Segmentation Method based on Deep Convolutional Neural Networks for Functional Regions in Mouse Brain

An Automatic Neuronal Morphology Segmentation Method for Identification of Dendritic Spines

A Development of High-Content Subcellular Image Processing DLL  (Co-worker: Yi-De Chen)

Skills

Machine Learning


  • Yolo
  • U-Net
  • Transfer Learning
  • Machine Learning


(TensorFlow, Keras, Pytorch)

Computer Vision


  • OpenCV
  • Image Segmentation
  • Image Recognition
  • Algorithm Development


#Python #Software Programming #C++

Software Integration


  • Docker
  • PyInstaller
  • Cython
  • Python
  • Linux

#Python #Linux #Software Programming

Cascade API


  • Python Flask
  • Postman API
  • Python


#Python #Software Integration Test #Function Test

Software and Hardware Integration


  • C++
  • LabVIEW
  • Python
  • DLL

 #C++ #LabVIEW #Visual Studio

iOS APP


  • Xcode
  • Swift


#iOS #SWIFT #Software Programming

Work Experience

AI/ML Engineer - Medical Imaging  •  TaiHao Medical Inc., Taiwan

Aug 2020 - Present

1. Develop the AI that automatically detects the location of breast ultrasound lesions.

2. Optimize the AI model. By improving the sensitivity and decreasing the FP (False Positive). Moreover, accelerate the software programming.

3. Deploy the AI model to other system environments.

4. Develop an API for breast ultrasound computer-aided detection. Collaborate with front-end engineering and assist in software integration to productized service software.

5. Collaborate with foreign engineers, launching our products abroad.

Undergraduate Research Assistant •  Institute of Atomic and Molecular Sciences, Academia Sinica, Taiwan

Mar 2018 - Feb 2019

1. Develop the AI image segmentation model by using machine learning and deep learning.

2. Develop image recognition-related products and applications for the laboratory by using computer vision to detect the specific part.

3. Improve the neural network model to adapt to the high complexity of medical imaging and other related issues.

4. Develop image segmentation and recognition algorithms, and produce a dynamic-link library to integrate into an opto-electro-mechanical system.

Publication

1.

Wang, P.-J., Chou, S.-J., Liao, J.-C.(2020) One-Shot transfer learning of region of mouse brain. 2020 Focus on Microscopy, Japan

2.

Zhang, X., Li, Z., Wang, P.-J., Liao, K.Y. Chou, S.-J., Chang, S.-F., Liao, J.-C.(2019) One-shot learning for function-specific region the segmentation in mouse brain. Proceedings of 2019 IEEE 15th International Symposium on Biomedical Imaging, Italy

3.

Chen, Y.-D., Chang, C.-W., Chung, C.-W., Wang, P.-J., Kai, H.-J., Luo C.-H., Yu, H.-H., Liao,J.-C.(2018) High-throughput, in-situ photoaffinity tagging of biomolecules via [Ru(bpy)3]2+ and two-photon microscopy. 2018 7th EuCheMS Chemistry Congress, UK

Awards & Honors

1.

Dec 2019

Excellence Award (Top 5), Innovation Services Group, 2019 CTCI (China Technical Consultants Inc.) Foundation Artificial Intelligence Innovation Competition in Taiwan

2.

Dec 2019

Academic Excellence Award, Ranked #1 in the Department of Physics, Soochow University, 2019 Spring semester

3.

May 2019

Academic Excellence Award, Ranked #1 in the Department of Physics, Soochow University, 2018 Fall semester

4.

Dec 2018

Academic Excellence Award, Ranked #1 in the Department of Physics, Soochow University, 2018 Spring semester

5.

May 2018

Academic Excellence Award, Ranked #3 in the Department of Physics, Soochow University, 2017 Fall semester