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上級
On
4〜6年
6〜10年
10〜15年
15年以上
Past
Branch Manager @PT. SUKSES MULIA SINERGIA (HR Sinergia Consultant)2019 ~ 2024
・
HR Recruitment Manager
1ヶ月以内
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
Unaki Semarang
・
Information Technology
Back End Developer @RSUD Dr. R. Soedarsono2023 ~ 現在
・
Backend developer/Full-stack developer
1ヶ月以内
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
・
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
Past
SENIOR SOFTWARE ENGINEER @RIKKEISOFT TOPTECH INFORMATICS K.K2020 ~ 2023
・
Senior Full Stack Developer
1ヶ月以内
無職
・
面接の用意ができています
フルタイム / リモートワークのみ
10〜15年
The University of Tokyo
・
Computer Science
PHP後端工程師
3ヶ月以内
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
・
就職希望
フルタイム / リモートワークに興味あり
6〜10年
就職中
フルタイム / リモートワークに興味あり
4〜6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
1ヶ月以内
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
パートタイム / リモートワークに興味あり
4〜6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
1ヶ月以内
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
・
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なし
6〜10年
National Taiwan University
・
資訊工程
CTO @采馥虛擬科技股份有限公司2020 ~ 現在
・
6ヶ月以内
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
フルタイム / リモートワークに興味あり
15年以上
國立台灣大學
・
創業與創新(EiMBA)
Past
Customer Support Executive @Maxicus (Formally: Kochar tech PVT LTD)2022 ~ 現在
・
PHP Specialist
1年以内
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
無職
フルタイム / リモートワークに興味あり
10〜15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
6ヶ月以内
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
フルタイム / リモートワークに興味あり
6〜10年
Asia University of Taiwan 亞洲大學
・
資訊多媒體應用學系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
検索のコツ
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
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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