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進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
National Chengchi University
・
Innovation and Intellectual Property Management待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
國立成功大學
・
資訊工程學系就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
國立成功大學
・
工程科學所(在讀)
Director @朕來雲端工作室2023 ~ 現在
・
管理職
一個月內
提供全方位支援，攜手共進，謝謝！ 管理職 Taipei Special Municipality，TW [email protected] 專長 後端技術 1.Node.js ( Express 、 Sails 、Next ) 2.PHP ( Laravel、 codeigniter ) 3.Golang (Gin) 4.Python (Flask) 5.Java 前端技術 1.HTML 2.CSS 3.Js( Jquery、React、Angular、Vue ) 4.Bootstrap 5.Material UI 其他技術 1.LineBot 2.ChatGPT 3.Flutter (Android & IOS) 4.Win APP 5.
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
15 年以上
輔仁大學
・
資訊管理
工程師
兩個月內
建立 ( use aglio) - 網站功能 refactor - 新舊報表比對 ( use test case and test db) - 部分功能 php to python - unittest - Docker 以及 Jenkins 使用 Software Engineer，鑫翼資訊，高雄 2016 年 6 月年 3 月 - Python Flask 開發電商網站 - opencv 人臉辨識 - Azure 雲端服務架設 - server 架設以及 db 異地備份 - 網站 refactor Side Project 使用 Flask 建立 Line-bot - https://github.com/twtrubiks
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
高雄應用科技大學
・
電機系
曾任
Senior Backend Engineer @瑪黑家居選物股份有限公司2023 ~ 現在
・
Software Engineer / Backend Engineer
一個月內
</> Shan Xi, Liao A software engineer who has been working on web-based applications for many years enjoys learning new things. Skills: - Java, Spring Framework, Maven. - Python, Flask, Celery, Gunicorn. - Golang. (Limited work experience) - Node.js. ( Limited work experience) - HTML, CSS, JS, Bootstrap. - Git, Linux, Azure DevOps, Docker. - Oracle, Redis, MongoDB. Taipei City, Taiwan MyWebsite / MyPortfolios Work Experience SeptemberJune 2022 Software Engineer (Java, Python) 國泰金控 Cathay Financial Holdings 【Job description】 Backend APIs development using Java for MyRewards App - Major services developed by me: E-Invoice
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
國立東華大學 | National Dong Hwa University
・
Global Logistics Management
曾任
IoT software engineer @Upwork as a Freelancer2022 ~ 現在
・
CTO、Sr.Software Manager、Sr.Software Engineer
一個月內
系統設備）的更新。 熟悉的技術： a. 嵌入式Linux、Yocto專案、QT、Cmake、Docker b. MCU、Cortex M、Modbus、OPCUA c. IoT AWS、Apache Kafka d. Java web Spring boot、RESTFUL API、Mysql DB、Mongodb e. Python、Flask、Django、OpenCV Eng. Ver. Responsible for the update of the real-time monitoring system (embedded system device with web java-based GUI) for the province-wide gateway control of Taiwan’s high-speed rail. 二月七月 2022 IoT software engineer 谷林運
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
15 年以上
國立中興大學
・
物理
Engineer @鴻霖2022 ~ 現在
・
軟體工程師
一個月內
如何與其他team分享log。 Experience Software Engineer，鴻霖全球運輸，2022年1月 - 現在 MOP 開發 資料庫schema設計和制定RESTful API規格 開發運輸管理系統RESTful API（Python Flask） 為OP/CS開發Web應用程式（使用Python Flask和React） DevOps Engineer，趨勢科技，2019年8月年1月 SDZ 後端設計 Autoscale 模組開發(python) Infrastructure as code (terraform) Manage account 設
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
國立中正大學
・
資訊工程
曾任
DevOps Engineer @Crypto.com2023 ~ 現在
・
DevOps Engineer, Site Reliability Engineer
一個月內
and various certifications. As an Engineer, I have good English communication skills and approach my work with a high level of diligence and dedication. Taipei, Taiwanhttps://rickchen.site [email protected] Technology Tech Stack Python JavaScript HTML5 CSS3 MySQL MongoDB Node.js Flask Django Linux Design Tools Kubernetes GitLab Jenkins Terraform Ansible Prometheus Grafana ElasticSearch Git AWS Docker Azure Work Experience DevOps Engineer Doubletree by Hilton FebMar 2021 Torrance , California 1. Maintain VM and Linux Server/Bash Scripts for system optimization, maintenance, and automation. 2. Utilize Python full
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
California Lutheran University
後端工程師 @Glossika2022 ~ 現在
・
資深工程師
一個月內
林暐辰 William Lin 全端工程師 x 後端工程師 [email protected] 「用程式技術讓世界更美好」 技能點數 前端工程 JavaScript jQuery Vue.js Nuxt.js CSS SASS/SCSS Bootstrap 後端工程 PHP Laravel CodeIgniter Slim Python Flask Node.js 其他 GCP GKE Cloud Functions Heroku Git Docker MySQL 工作經歷 一月Present 資深工程師 天下雜誌股份有限公司 1.
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
國立清華大學
・
資訊系統與應用研究所最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
就學中
求職階段
專業
軟體工程師, Python 開發人員, 機器學習工程師
產業
軟體, 人工智慧 / 機器學習, 機器人科學
工作年資
小於 1 年
管理經歷
無
技能
語言能力
English
・
專業
German
・
進階
Chinese
・
母語或雙語
求職偏好
希望獲得的職位
Software Engineer
預期工作模式
全職
期望的工作地點
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
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