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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
Software engineer
Software Engineer @Media Wind Health Group2021 ~ 現在
・
Software engineer
兩個月內
Daivalentineno Janitra Salim Full Stack Engineer Taipei City, Taiwan On the surface, Daivalentineno J S is an accomplished Full Stack Engineer with 5 years of experience in Software Companies, especially in Website Development. I was mostly working using HTML, CSS, Vanilla JS, Vue JS, PHP, Laravel Framework, Golang, and Solidity. I can solve corporate issues using an efficient and safe information system. I am open to challenges, conversations, and an exchange of ideas with other colleagues. http://daivalentinenojs.my.id/ Skills Backend Linux, Apache MySQL, Maria DB PHP, PHPUnit Laravel Guzzle
就職中
全職 / 對遠端工作有興趣
4 到 6 年
Harbin Institute of Technology
・
Polar Environment
曾任
Full Stack Developer @Dylish2020 ~ 2023
・
Software Engineer
一年內
Brian Canlas Full Stack Developer Los Angeles, CA, United States Creative Full-stack developer with 7+ years of professional knowledge of Web & Mobile development with a willingness to learn and master Software architecture. Experience of facilitating web and mobile projects from concept to launch. My passion is to design and create reliable and smooth web and mobile applications to make every software solution worth it. Ready to apply my passion for coding to a talented engineering team to develop quality solutions. Work Experience Full Stack Developer • Dylish MarchAugust 2023 • Developed and maintained online food ordering
待業中
全職 / 對遠端工作有興趣
6 到 10 年
Nanyang Technological University, Singapore
・
Computer Science
全端工程師 @帝商科技股份有限公司2020 ~ 現在
・
Software Engineer
一個月內
陳韋嘉 全端工程師 / Taichung，TW / [email protected]畢業於朝陽科技大學資訊工程學系 喜愛打棒球、四處旅遊、Coding和思考邏輯所帶來的成就感、熱於學習語發現新的技術、閱讀科技或財經相關的文章。 Skills Backend/Frontend PHP - Laravel, CodeIgniter Node.js C# C＋＋ C Python - Robot Framework Java JQuery HTML CSS Vue.
就職中
・
目前會考慮了解新的機會
全職 / 暫不考慮遠端工作
4 到 6 年
朝陽科技大學
・
資訊工程系
曾任
網頁程式開發（後端） @Evision Solution2019 ~ 2021
・
Software Engineer
一個月內
HHIN-CHUNG CHEN - Familiar with large data querymillion+, oracle) - Intermediate skill on Front-End Developing. ( HTML, CSS ) - Advanced skill on Back-End Developing. ( PHP, Node JS, Python ) - Transnational cooperation with medium-sized team. ( about 20+ teammates ) - Always have strong willing to learn. Background: - E-commerce platform in Taiwan. - Warehouse manage system in China. Software Engineer Taipei Special Municipality，TW [email protected] 主要技能 Program Language: PHP Framework: ThinkPHP(5.1), Laravel(5.4) Database: Oracle, MySql Vsersion Control: Git, SVN 其他技能 Programming
待業中
全職 / 我只想遠端工作
6 到 10 年
National University of Kaohsiung
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Computer Science and Information Engineering
全職 / 對遠端工作有興趣
6 到 10 年
Fju Jen Catholic University
・
Information Management
Data Engineer @漸強實驗室 Crescendo Lab Ltd.2020 ~ 2022
・
Software Engineer
一年內
Handle 7M+ requests and send 200M+ messages per day. Integrated several 10+ services such as GA, Shopline, 91APP, SurveyCake, E-Invoice, etc. Rewrote the backbone service and migrated the infrastructure from Heroku to GCP using Kubernetes. Backend Engineer • Universe Tech NovJul 2019 • 8 mos PHP/Laravel/MariaDB/Redis Be one of the first engineers and design the overall architecture of the backend service. Built the CRM and customer service system for online games. Interview the junior engineers. Project Taiwan Stock Analytic Platform Python/Airflow/dbt/
就職中
全職 / 對遠端工作有興趣
4 到 6 年
國立台灣大學 National Taiwan University
・
資訊工程就職中
兼職 / 對遠端工作有興趣
6 到 10 年
NTUST
・
Graduate Institute of Automation And Control待業中
全職 / 我只想遠端工作
4 到 6 年
Temple University, Japan Campus
・
Computer Science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