CakeResume Talent Search

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4〜6年
6〜10年
10〜15年
15年以上
Avatar of Shane Li.
Avatar of Shane Li.
技術經理 @紅樓創新技術股份有限公司
2021 ~ 現在
iOS Developer
6ヶ月以内
李謙 Shane Li 只用五個詞形容自己的話,果粉、樂於溝通、求知慾旺盛、要求精確、熱愛嘗試 擅長拆解整合。能運用有限資源組合出不同的樣貌;亦能從無到有設計出擴充性高的系統架構 目前主要鑽研 Native iOS 平台開發,包括但不僅限於 Swift, SwiftUI, Combine 等 New Taipei, Taiwan 工
SwiftUI
MySQL
PHP
就職中
フルタイム / リモートワークに興味あり
6〜10年
私立大同大學
電機工程學系
Avatar of Mohammad Razipour.
Avatar of Mohammad Razipour.
iOS Developer @Football360
2022 ~ 現在
iOS Developer
6ヶ月以内
Mohammad Razipour I am excited about learning and trying new ways to solve problems. The most important motivation for me is to grow and learn continuously. I like to share my knowledge with others. I always try to improve my social skills. most important value for me is unlimited learning and growing. iOS [email protected] Skills Swift Programming Language Objective-C Programing Language Object Oriented Programming Protocol Oriented Programming SwiftUI, UIKit Core Data, Realm WebSocket, RESTful WebRTC In-APP Purchase Apple Push Notification CallKit FCM Git VCS GitHub GitLab Tower Git GUI
Swift Programming Language
Object Oriented Programming
Protocol Oriented Programming
就職中
フルタイム
6〜10年
University of Darolfonoon
Bachelor's degree Computer Software Engineering
Avatar of the user.
Avatar of the user.
Senior iOS Software Engineer @SWVL
2022 ~ 現在
iOS Software Engineer
1年以上
iOS
Swift/iOS
SwiftUI
就職中
フルタイム / リモートワークのみ
4〜6年
El-Shorouk Academy
Computer Science
Avatar of the user.
Avatar of the user.
iOS developer @喬山健康科技
2020 ~ 現在
iOS developer
1年以内
Swift/iOS
Objective-C
Git
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
中興大學
生命科學
Avatar of the user.
Avatar of the user.
Co-founder & iOS Department Manager @The Noughty Fox
2022 ~ 現在
iOS Developer
1年以内
Swift
IOS
Core Data
就職中
フルタイム / リモートワークに興味あり
6〜10年
Avatar of Alexander Chen.
Avatar of Alexander Chen.
iOS工程師 @So-net台灣碩網網路股份有限公司
2017 ~ 2022
iOS App工程師
6ヶ月以内
Multi-Thread GCD NSOperation Map and CoreLoaction Google Map 串接 MapKit與CoreLocation串連 URL Scheme and Universal Link PhotoKit AVFundation 自製相機 QRCode、BarCode掃描 BLE藍牙裝置連結並取得數據 Apple Wallet(錢包)串接 Swift Combine Framework 資料儲存 NSUserDefault CoreData FMDB Relam FileManager iOS 第三方套件使用 CocoaPods、Carthage、Swift Packages第三方套件管理工具 FB SDK 登入功能串接 Google SDK 登入功能串接 Alamofire IQKeyboardManagerSwift
IOS App Development
Objective-C/Swift
MVC Architecture
フルタイム / リモートワークに興味あり
4〜6年
龍華科技大學
電子工程
Avatar of 詹詠翔 Eric.
Avatar of 詹詠翔 Eric.
iOS App Developer @Sixnology
2015 ~ 2021
iOS App developer
1年以上
與 Code Review 及技術分享 Open source project contribution open-tls-iot-client https://github.com/tracmo/open-tls-iot-client 開發 iOS App 發送 message 到 AWSIoT 的 topic 動態抽換使用的憑證、私鑰及根憑證 Face/Touch ID 技能 Swift, Objective-C Objective-C to Swift migration MVVMC, VIP Architectural Pattern Combine Framework Auto Layout by code Others 使用 Git 版本控制並處理 merge request 透過 GitLab CI 來 build 及 test
Swift
objective-c
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
成功大學
資訊工程學系
Avatar of 陳威宇.
Avatar of 陳威宇.
iOS Developer @軒昂有限公司 XUENN Pte Ltd.
2020 ~ 2023
iOS Developer
1年以内
評語為是個認真負責且細心的可靠同事,時常注意細節,開發的自我檢測環節完善,成果品質令人放心。 技能 Advanced Swift / Objective C iOS Framework OOP KVO MVVM / MVC Library / Framework Combine / RxSwift Diffusion / SocketRocket Alamofire Cryptography GA / FA / Matomo Else Xcode CocoaPods Git / Github / Gitlab Jenkins 專案 beanfun! 橘⼦⽀付錢包 購物、影音、換物、遊戲,生活大
IOS 開發相關
iOS工程師
Swift/iOS
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
淡江大學 Tamkang University
Avatar of Danyl Timofeyev.
Avatar of Danyl Timofeyev.
Past
Senior iOS developer / Tech Lead @Jiggle
2021 ~ 現在
Senior iOS Developer
1年以内
Github, LinkedIn Some of technologies and daily duties - Mobile architectures - Networking: GRPC, REST, URLSession, Reactive networking, sockets - FRP, Combine, SwiftUI, CombineCocoa, RxSwift, RxCocoa - Memory management, Runtime, Multithreading(GCD, Operation) - UI ( SwiftUI, UIKit, Auto-layout, SnapKit, UI from code, Xibs, animations, routing, custom controls) - Xcodegen, Collections, deep linking, push notifications, analytics frameworks, localization, Firebase SDK tools, AppStore distribution, project targets and extensions, git - Debug tools, tests, crashlytics, bug logging, optimizations for performance and size - Other project capabilities: analytics, localization, push notifications, payments, locations, interactions with audio video, camera, maps, AR and more - External project dependencies and frameworks, standard libraries and native
Xcode
Clean Architecture
Clean Swift
無職
フルタイム / リモートワークに興味あり
6〜10年
Avatar of Xenor Chang.
Avatar of Xenor Chang.
Web Developer @Listia
2013 ~ 2015
Individual Contributor
1年以上
4, and using Rails 5 for new projects - Maintain and wrote Ethereum Smart Contracts using Solidity - Maintain and evolve an Ethereum blockchain processor framework built with CTO Listia , Web Developer, Aug 2013 ~ Mar 2015 https://listia.com - Built API backend for listia mobile clients - Built delayed job framework that combines SQL and NoSQL job serialization/deserialization, enqueue, and error handling - Built a cron job framework with CLI that can securely run jobs with monitoring and reporting tools - Maintain and evolve an ActiveRecord lifecycle pub/sub framework using ActiveSupport::Notifications API Code Green IT, Web Developer
Ruby on Rails
HTML5
css3/sass
就職を希望していません
フルタイム / リモートワークのみ
6〜10年
National Chengchi University
Psychology

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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.
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Ability to convey information effectively and is willing to give and receive feedback.
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1年以上
Computer Vision Reseacher
國立中央大學
2020 ~ 現在
Hsinchu, 新竹市台灣
Professional Background
現在の状況
就学中
求人検索の進捗
Professions
Software Engineer, Python Developer, Machine Learning Engineer
Fields of Employment
ソフトウェア, 人工知能/機械学習, ロボティクス
職務経験
1年未満
Management
なし
スキル
Artificial Intelligence
Deep Learning with PyTorch
Deep Learning with Tensorflow
Computer Vision
Python
Git
C++
Web
言語
English
ビジネスレベル
German
流暢
Chinese
ネイティブまたはバイリンガル
Job search preferences
希望のポジション
Software Engineer
求人タイプ
フルタイム
希望の勤務地
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
リモートワーク
リモートワークに興味あり
Freelance
いいえ。
学歴
学校
國立清華大學
専攻
資訊應用研究所
印刷

林佳縈 Chia Ying Lin

Computer Vision Reseacher

  Computer Vision Lab, NTHU


With 4-year solid training in computer science fundamentals, 2-year independent research experience in computer vision, and diverse hands-on development experiences, I always pursue excellence, crave new challenges, and am open to all possibilities.  

  [email protected]

https://github.com/lykasbongbongbong

linkedin.com/in/lykas-chia-ying-lin

  0937-464-176

Skills

Languages


  • Python (familiar)
  • C++, C
  • JAVA

Deep Learning Frameworks


  • PyTorch (familiar)
  • Tensorflow

CV & DL Libraries


  • OpenCV
  • Keras

Development Tools


  • Git/Github
  • RESTFul APIs

Web Development


  • HTML, CSS, JS
  • Python Flask
  • PHP, Laravel
  • MySQL, NoSQL(mongoDB)
  • AWS

Others


  • English TOEFL iBT 97
  • English TOEIC 935 
  • German B2

Education


Master's Studies, Computer Vision Lab, NTHU

Dept. Information Systems and Application, Sep 2020~Now

  • Anomaly detection and segmentation for smart manufacturing as primary research target

Bachelor Degree, WASN Lab, NCU

Dept. Computer Science, Sep 2016 ~ June 2020

Exchange Student, Hochschule München, Germany

Dept. Informatik (Computer Science), Sep 2019 ~ Feb 2020

Experiences

August 2021

Attendee,

Machine Learning Summer School, NTU

August 2021

Backend Developer (Anomaly Detection Demo Website),

CVLab, FUTEX 2021

  • Use Python Flask, MySQL for RestFul APIs development
  • Optimized backend system with Python threading to support sudden massive traffic

June 2018 ~ July 2019, 1y1m

Full-Stack Web Developer (NCU Internship Web)

Career Center NCU

  • Reconstruct website with Laravel Framework
  • Optimize backend and database to handle larger amounts of access
  • Over 30% of users received intern opportunities via this site 
  • Website Link: https://ncuinternship.careercenter.ncu.edu.tw/

Master Thesis: 

SABDN: Self-Attention Based Deviation Network for few-shot anomaly detection and segmentation (Under Review ECCV 2022)



Contributions

  • Combine self-attention mechanism with feature extraction CNN network and anomaly synthesis mechanism for anomaly scoring to achieve outstanding anomaly detection accuracy under few-shot setting
  • Reach SOTA performance on benchmark dataset MVTecAD dataset and BTAD dataset with over 90 percent reduction in training data requirements

Side Projects




GlueGAN: a generative model based on SuperGlue structure

  • Extend MagicLeap’s SuperGlue end-to-end GNN concept for object synthesis to solve synthetic object image generation problem
  • 10% accuracy improvement compared to initial GAN backbone 

Let's play GAN with flows and friends!

  • Generate synthetic object images with multi-label conditions with conditional GAN manner
  • Human faces generation by conditional normalizing flow

2048: by Temporal Difference Learning Approach (RL)

  • Construct TD-learning algorithm and design own n-tuple network to solve 2048 game
  • Reach 98% 2048-tile win rate in 1000 games

The LunarLander: under Deep Q-Network and DDPG manner (RL)

  • Implement DQN and DDPG network to solve LunarLander game problem
  • Thoroughly understand Deep Q-learning, actor-critic mechanism

Real-Time car detection and counting system

  • Retrain YOLOv3 with our own hatchback dataset
  • Reach average accuracy: 99% on both day-light and evening scenarios
Resume
プロフィール

林佳縈 Chia Ying Lin

Computer Vision Reseacher

  Computer Vision Lab, NTHU


With 4-year solid training in computer science fundamentals, 2-year independent research experience in computer vision, and diverse hands-on development experiences, I always pursue excellence, crave new challenges, and am open to all possibilities.  

  [email protected]

https://github.com/lykasbongbongbong

linkedin.com/in/lykas-chia-ying-lin

  0937-464-176

Skills

Languages


  • Python (familiar)
  • C++, C
  • JAVA

Deep Learning Frameworks


  • PyTorch (familiar)
  • Tensorflow

CV & DL Libraries


  • OpenCV
  • Keras

Development Tools


  • Git/Github
  • RESTFul APIs

Web Development


  • HTML, CSS, JS
  • Python Flask
  • PHP, Laravel
  • MySQL, NoSQL(mongoDB)
  • AWS

Others


  • English TOEFL iBT 97
  • English TOEIC 935 
  • German B2

Education


Master's Studies, Computer Vision Lab, NTHU

Dept. Information Systems and Application, Sep 2020~Now

  • Anomaly detection and segmentation for smart manufacturing as primary research target

Bachelor Degree, WASN Lab, NCU

Dept. Computer Science, Sep 2016 ~ June 2020

Exchange Student, Hochschule München, Germany

Dept. Informatik (Computer Science), Sep 2019 ~ Feb 2020

Experiences

August 2021

Attendee,

Machine Learning Summer School, NTU

August 2021

Backend Developer (Anomaly Detection Demo Website),

CVLab, FUTEX 2021

  • Use Python Flask, MySQL for RestFul APIs development
  • Optimized backend system with Python threading to support sudden massive traffic

June 2018 ~ July 2019, 1y1m

Full-Stack Web Developer (NCU Internship Web)

Career Center NCU

  • Reconstruct website with Laravel Framework
  • Optimize backend and database to handle larger amounts of access
  • Over 30% of users received intern opportunities via this site 
  • Website Link: https://ncuinternship.careercenter.ncu.edu.tw/

Master Thesis: 

SABDN: Self-Attention Based Deviation Network for few-shot anomaly detection and segmentation (Under Review ECCV 2022)



Contributions

  • Combine self-attention mechanism with feature extraction CNN network and anomaly synthesis mechanism for anomaly scoring to achieve outstanding anomaly detection accuracy under few-shot setting
  • Reach SOTA performance on benchmark dataset MVTecAD dataset and BTAD dataset with over 90 percent reduction in training data requirements

Side Projects




GlueGAN: a generative model based on SuperGlue structure

  • Extend MagicLeap’s SuperGlue end-to-end GNN concept for object synthesis to solve synthetic object image generation problem
  • 10% accuracy improvement compared to initial GAN backbone 

Let's play GAN with flows and friends!

  • Generate synthetic object images with multi-label conditions with conditional GAN manner
  • Human faces generation by conditional normalizing flow

2048: by Temporal Difference Learning Approach (RL)

  • Construct TD-learning algorithm and design own n-tuple network to solve 2048 game
  • Reach 98% 2048-tile win rate in 1000 games

The LunarLander: under Deep Q-Network and DDPG manner (RL)

  • Implement DQN and DDPG network to solve LunarLander game problem
  • Thoroughly understand Deep Q-learning, actor-critic mechanism

Real-Time car detection and counting system

  • Retrain YOLOv3 with our own hatchback dataset
  • Reach average accuracy: 99% on both day-light and evening scenarios