CakeResume 找人才
進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
曾任
Branch Manager @PT. SUKSES MULIA SINERGIA (HR Sinergia Consultant)2019 ~ 2024
・
HR Recruitment Manager
一個月內
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
Unaki Semarang
・
Information Technology
Back End Developer @RSUD Dr. R. Soedarsono2023 ~ 現在
・
Backend developer/Full-stack developer
一個月內
Rahmat Fauzan Algipari Pasuruan, Pasuruan City, East Java, Indonesia || [email protected] Saya adalah seorang pekerja keras, antusias, dan profesional dalam bidang pengembangan aplikasi. Keterampilan utama yang saya miliki adalah pengembangan aplikasi berbasis web dan mobile dengan menggunakan teknologi terkini. Dengan kombinasi keterampilan teknis, motivasi belajar, dan nilai-nilai kolaboratif, saya siap untuk memberikan kontribusi bermakna kepada perusahaan yang menghargai pengembangan profesional dan pertumbuhan karir. Pengalaman Kerja Back End Developer • RSUD Dr. R. Soedarsono AgustusPresent | Pasuruan City, East Java Main Responsibilities: Developed a web application that handled 500 concurrent users with
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
曾任
SENIOR SOFTWARE ENGINEER @RIKKEISOFT TOPTECH INFORMATICS K.K2020 ~ 2023
・
Senior Full Stack Developer
一個月內
待業中
・
正在積極求職中
全職 / 我只想遠端工作
10 到 15 年
The University of Tokyo
・
Computer Science
PHP後端工程師
三個月內
Kos 曾經參與過的活動: * PHP 也有 Day #32 - 閃電秀大亂鬥 * Golang Taipei Gathering #21 Go 1.8 Release Party * Golang Taipei Gathering #20 * Web Tech Topic #22 - Basic of Linux shell Command（二） * Raspberry Pi社群聚會 #17 * GDG Taipei #31: GDG DevFest Taipei * Chatbot Developers Taiwan Meetup #1 2016/11/22 19:00~21:30 * KKBOX Innovation Chat #11 (高雄場) 機器學習狂想曲，顛覆人工智慧新
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
就職中
全職 / 對遠端工作有興趣
4 到 6 年
STMIK & PKN LPKIA
・
S1
後端工程師 @樂活多媒體有限公司2016 ~ 2018
・
後端工程師
一個月內
林宇凡 國立交通大學資訊工程學系 網頁前後端程式 目前soho php工程師 之前在樂活多媒體公司上班/06~ 2018/09 ) 目前專門開發WordPress套件 修改佈景主題也樂於分享技術經驗 歡迎電洽或加 Line 討論！ LINE ID: xg連絡電話:也可以到我的網站了解更多細節
兼職 / 對遠端工作有興趣
4 到 6 年
交通大學
・
資訊工程
高級工程師 @關網資訊股份有限公司2022 ~ 2023
・
Senior PHP engineer
一個月內
英文單字 使用 laravel + botMan 做後台開發 使用 docker(laradock) 架設環境 使用 circleCI 進行自動整合 使用過的程式語言與開發工具 後端開發語言:PHP，Kotlin Web Server:Nginx 網頁框架:laravel、Yii、Yii2、Ktor、Spring Boot 慣用 PHP 套件 l5-repository laravel-mongodb guzzlehttp voyager jwt-auth laravel-echo 測試框架:phpunit 主機架構:docker 開發工具:PHPStorm 資料庫:MySQL、MongoDB
就職中
・
目前沒有興趣尋找新的機會
全職 / 暫不考慮遠端工作
6 到 10 年
National Taiwan University
・
資訊工程
CTO @采馥虛擬科技股份有限公司2020 ~ 現在
・
半年內
科學與商業應用協會 理事 中華R軟體學會 理事 亞洲NGH催眠師協會 理事 Taipei City, Taiwan [email protected] 工作技能 演說經驗 軟體開發(PHP、.NET)、資訊整合服務、資訊顧問服務、軟硬體系統建置 、 商業模式分析(資訊類創創數位 期貨、選擇權與量化交易 2021、2022 台北科
就職中
全職 / 對遠端工作有興趣
15 年以上
國立台灣大學
・
創業與創新(EiMBA)
曾任
Customer Support Executive @Maxicus (Formally: Kochar tech PVT LTD)2022 ~ 現在
・
PHP Specialist
一年內
relay the same to other departments as per the protocol. Be open and responsive to consistent coaching, take an active role in performance planning and goal setting. Be flexible in an environment by championing and embracing change. Education Parul University B.Tech in Computer Science & EngineeringCGPAN.G.Patel Polytechnic Diploma in Computer EngineeringCGPASkills Languages PHP development SQL/MySQL C++ Word Software Development Performance Optimization Technical Support Customer Relationship Management (CRM) DevOps Project Coordination Agile Methodologies Hardware Troubleshooting Networking Skills Server Maintenance Remote Troubleshooting Arduino Programming Gujarati — Fluent Hindi — Fluent English — Fluent
待業中
全職 / 對遠端工作有興趣
10 到 15 年
Parul University
・
Bachelor of Technology B.Tech Computer Science & Engineering
後端工程師 @麻豆傳媒2022 ~ 現在
・
Software Engineer / Backend Engineer
半年內
Neil Shie Backend/DevOps Engineer Taipei, TW Email: [email protected] Mobile:I have more than 7 years of experience in software development, especially in Backend/DevOps. Experienced of importing Golang,Microservices, Docker, Kubernetes, CI/CD, Grafana related technologies into the backend team. I'm good at communicating with other teams and have experience of DevOps and backend developers. I'd like to have some tools to help me save more time at work and would like to optimize the bottom layer of the projects to make them work more powerful .
就職中
全職 / 對遠端工作有興趣
6 到 10 年
Asia University of Taiwan 亞洲大學
・
資訊多媒體應用學系最輕量、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