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Taipei City, Taiwan
Avatar of 謝明翰.
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Past
後端工程師 @Canner (易開科技)
2023 ~ 2024
Senior Backend Engineer
Dans 1 mois
生活中,我一直透過寫程式來讓生活變得更便利。 所以我做了很多 side project ,並從中學習了很多技能。 Taiwan 技能 程式語言 Node.js Golang PHP Python 框架 React Laravel Gin Express GraphQL koa 資料服務 Mysql RabbitMQ Redis ElasticSearch 管理工具 Git Ubuntu Docker Gitlab Runner Github Action 工作經歷 後端工程師 易開科技 Canner Co.,Ltd. 三月二
Node.js / Express.js
Git-flow
Golang
Sans Emploi
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
4 à 6 ans
東海大學 Tunghai University
資訊工程
Avatar of Justin Liu.
Avatar of Justin Liu.
Manager @GOMAJI 夠麻吉
2017 ~ Présent
Project Lead / Tech Lead / Team Lead / Technical Manager
Dans 1 mois
提升團隊效率和產品品質。 新北市, 台灣 工作經歷 九月Present Manager GOMAJI 夠麻吉 1. Website, API Development, and Third-Party Service Integration: (1) Responsibility: Managed company’s official websites and led API development using PHP Slim. Directed transitions from PHP/React.js to Laravel and integrated third-party services like Shopify Plus. (2) Achievement: Improved website performance by 20%, SEO score to 90, ensuring stability under high traffic and enabled rapid business model validation. 2. App Development: (1
Team Lead
Management Team
Cloud Architecture
Employé
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
10 à 15 ans
Shih Hsin University
Management Information Systems, General
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Past
PM @創業家兄弟Kuobrothers Corp.(生活市集)
2021 ~ 2023
後端工程師、產品經理、專案管理
Dans 1 mois
Photoshop
PowerPoint
Excel
Sans Emploi
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
國立高雄師範大學(NKNU)
工業設計學系
Avatar of 蔡坤益.
Avatar of 蔡坤益.
駐點工程師 @中嘉數位股份有限公司
2023 ~ Présent
程式設計師
Dans 1 mois
蔡坤益 資深 PHP 程式開發,全端技術應用 [email protected], Taiwan Skills Language PHP - 精通 PHP Framework: CodeIgniter- 精通 PHP Framework: Laravel - 熟悉 SQL- 精通 Front-end HTML - 精通 CSS- 熟悉 Javascript - 熟悉 jQuery - 熟悉 Bootstrap - 熟悉 Database MySQL - 精通 SQL Server - 熟悉 SQLite - 熟悉 MongoDB - 熟悉 Database design - 精通 Redis - 熟悉 Service AWS EC2 - 熟悉 AWS S3 - 熟悉 AWS RDS - 熟悉 Else RESTful API - 精通 API Blueprint - 熟悉
PHP
CodeIgniter
JavaScript
Employé
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
10 à 15 ans
國立高雄應用科技大學
資訊管理
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Avatar of the user.
後端工程師 @GOMAJI_夠麻吉股份有限公司
2019 ~ Présent
Senior Back end Developer
Dans 2 mois
PHP
JavaScript
MySQL
Employé
Temps plein / Intéressé par le travail à distance
4 à 6 ans
中原大學
資訊管理系
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Avatar of the user.
資深工程師 @滙訊科技有限公司
2022 ~ Présent
資深軟體工程師
Dans 6 mois
PHP
Laravel
Flutter
Employé
Ne recherche pas de nouvelles opportunités
Temps plein / Uniquement Travail à distance
4 à 6 ans
國立臺灣師範大學 National Taiwan Normal University
歷史學研究所
Avatar of 鍾士鈞.
Avatar of 鍾士鈞.
後端工程師 @威許移動股份有限公司 ( WishMobile, Inc. )
2022 ~ Présent
Taipei,Taiwan
Dans 1 mois
鍾士鈞 Jin 後端工程師 6 年後端工作經驗,參與百萬用戶 ERP 系統架構設計和開發,熟悉 PHP Laravel 框架與 SQL 資料庫應用。 [email protected] Languages PHP Python Javascript Framework Laravel CakePHP Testing PHPUnit Database RDBMS MySQL NoSQL Redis GCP Engine Storage SQL DNS Other Linux Docker Git Work Experience 2022/05 - Present Taipei, Taiwan 後端工程師 威許移動 Wishmobile 在3人團
php
Python
JavaScript
Employé
Ne recherche pas de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
4 à 6 ans
長庚大學
資訊工程
Avatar of 林坤佑.
Avatar of 林坤佑.
PHP 後端工程師 @捷思達數位開發有限公司
2018 ~ Présent
資深 PHP 後端工程師
Dans 6 mois
專案開發輔以程式開發。 使用框架 CI(CodeIgniter)、Zend、Laravel 等框架完成公司指派專案任務。 Mail: [email protected] Tel:Tainan City, Taiwan 技能 後端 PHP Zend Framework CodeIgniter Framework Laravel Framewrok 前端 Html JavaScript Jquery Vue.js 資料庫 Mysql Mssql 伺服器 Apache Nginx 版控軟體 SVN GIT 其他 領域驅動設計 物件導向開發(OOP) Restful API Elasticsearch Docker 工作經歷 PHP
PHP
MySQL
JavaScript
Employé
Temps plein / Intéressé par le travail à distance
4 à 6 ans
崑山科技大學
資訊管理系
Avatar of 巫維閔.
Avatar of 巫維閔.
程式設計師 @達暉資訊
2019 ~ Présent
程式設計師
Dans 2 mois
司有挑戰性的工作歡迎與我討論,感謝您花時間閱讀我的履歷! 後端工程師Backend Engineer 台北市Taipei,台灣Taiwan [email protected] 技能 Skills Language Good: PHP、python、Javascript Moderate: JAVA、React Basic: C、Delphi IDE / Editor PHPStorm pyCharm Sublime Eclipse Version Control Git Framework Python: Django、Scapy、Flask PHP: Laravel、Codeigniter、CakePHP Tool Postman SourceTree MySQLWorkbench Else Docker Heroku 經歷 Experience 達暉資訊-程式設計師,2019 年 4
Crawler
PHP
JavaScript / ES6 / jQuery
Employé
Ne recherche pas de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
中臺科技大學
資訊管理系
Avatar of 游彥禹.
Avatar of 游彥禹.
專案管理師 @華立企業股份有限公司
2023 ~ Présent
後端工程師/軟體工程師
Dans 1 mois
程式設計、程式分析。 ProArt 網站 專案角色 : RD 職 掌 : 資料庫分析與設計、程式設計、程式分析。 學歷 元智大學 資訊傳播 2010/09~2012/07 輔仁大學 資訊工程 2005/09~2010/07 技能 Back-end C# / PHP Front-end Html / CSS / Javascript / JQuery / Bootstrap Database MS-SQL / MYSQL Framework ASP.NET MVC5 / ASP.NET CORE / Laravel
C#
PHP
SQL Server
Employé
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
元智大學 Yuan Ze University
資訊傳播

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Plus d'1 an
Computer Vision Reseacher
國立中央大學
2020 ~ Présent
Hsinchu, 新竹市台灣
Professional Background
Statut Actuel
Étudiant
Progrès de la Recherche d'Emploi
Professions
Software Engineer, Python Developer, Machine Learning Engineer
Fields of Employment
Logiciel, Intelligence Artificielle / Machine Learning, Robotique
Expérience Professionnelle
Moins de 1 an
Management
None
Compétences
Artificial Intelligence
Deep Learning with PyTorch
Deep Learning with Tensorflow
Computer Vision
Python
Git
C++
Web
Langues
English
Professionnel
German
Courant
Chinese
Natif ou Bilingue
Job search preferences
Position Désirée
Software Engineer
Type d'emploi
Temps plein
Lieu Désiré
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
Travail à distance
Intéressé par le travail à distance
Freelance
Non.
Éducation
École
國立清華大學
Spécialisation
資訊應用研究所
Imprimer

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
Profile

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