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上級
On
4〜6年
6〜10年
10〜15年
15年以上
Taipei City, Taiwan
Past
後端工程師 @Canner （易開科技）2023 ~ 2024
・
Senior Backend Engineer
1ヶ月以内
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
無職
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
東海大學 Tunghai University
・
資訊工程
Manager @GOMAJI 夠麻吉2017 ~ 現在
・
Project Lead / Tech Lead / Team Lead / Technical Manager
1ヶ月以内
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
就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
10〜15年
Shih Hsin University
・
Management Information Systems, General
無職
・
面接の用意ができています
フルタイム / リモートワークに興味あり
6〜10年
國立高雄師範大學(NKNU)
・
工業設計學系
駐點工程師 @中嘉數位股份有限公司2023 ~ 現在
・
程式設計師
1ヶ月以内
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
就職中
・
就職希望
フルタイム / リモートワークに興味あり
10〜15年
國立高雄應用科技大學
・
資訊管理就職中
フルタイム / リモートワークに興味あり
4〜6年
中原大學
・
資訊管理系就職中
・
就職を希望していません
フルタイム / リモートワークのみ
4〜6年
國立臺灣師範大學 National Taiwan Normal University
・
歷史學研究所後端工程師 @威許移動股份有限公司 ( WishMobile, Inc. )2022 ~ 現在
・
Taipei,Taiwan
1ヶ月以内
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
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
長庚大學
・
資訊工程
PHP 後端工程師 @捷思達數位開發有限公司2018 ~ 現在
・
資深 PHP 後端工程師
6ヶ月以内
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
就職中
フルタイム / リモートワークに興味あり
4〜6年
崑山科技大學
・
資訊管理系
程式設計師 @達暉資訊2019 ~ 現在
・
程式設計師
2ヶ月以内
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
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
中臺科技大學
・
資訊管理系
專案管理師 @華立企業股份有限公司2023 ~ 現在
・
後端工程師/軟體工程師
1ヶ月以内
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
就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
6〜10年
元智大學 Yuan Ze University
・
資訊傳播最も簡単で効果的な採用プラン
80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
- 検索結果をすべて閲覧
- 新しい会話を無制限に始められます
- 有料企業にのみ履歴書を公開
- ユーザーのメールアドレスと電話番号を確認
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1
Search a precise keyword combination
senior backend php
2
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UI designer -UX
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.
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
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
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.
https://github.com/lykasbongbongbong
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
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.
https://github.com/lykasbongbongbong
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