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进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Taipei City, Taiwan
曾任
後端工程師 @Canner （易開科技）2023 ~ 2024
・
Senior Backend Engineer
一個月內
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
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
東海大學 Tunghai University
・
資訊工程
Manager @GOMAJI 夠麻吉2017 ~ 现在
・
Project Lead / Tech Lead / Team Lead / Technical Manager
一個月內
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
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
10 到 15 年
Shih Hsin University
・
Management Information Systems, General
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 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 ~ 现在
・
程式設計師
一個月內
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
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
10 到 15 年
國立高雄應用科技大學
・
資訊管理就职中
全职 / 对远端工作有兴趣
4 到 6 年
中原大學
・
資訊管理系就职中
・
目前没有兴趣寻找新的机会
全职 / 我只想远端工作
4 到 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 ~ 现在
・
Taipei,Taiwan
一個月內
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
就职中
・
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
4 到 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 ~ 现在
・
資深 PHP 後端工程師
半年內
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
就职中
全职 / 对远端工作有兴趣
4 到 6 年
崑山科技大學
・
資訊管理系
程式設計師 @達暉資訊2019 ~ 现在
・
程式設計師
兩個月內
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
就职中
・
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
6 到 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 ~ 现在
・
後端工程師/軟體工程師
一個月內
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
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
元智大學 Yuan Ze University
・
資訊傳播最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
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
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
专业背景
目前状态
就学中
求职阶段
专业
软体工程师, Python 开发人员, 机器学习工程师
产业
软件, 人工智能 / 机器学习, 机器人科学
工作年资
小於 1 年
管理经历
无
技能
语言能力
English
・
专业
German
・
进阶
Chinese
・
母语或双语
求职偏好
希望获得的职位
Software Engineer
预期工作模式
全职
期望的工作地点
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
远端工作意愿
对远端工作有兴趣
接案服务
否
学历
学校
國立清華大學
主修科系
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