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上級
On
4〜6年
6〜10年
10〜15年
15年以上
Software engineer
Software Engineer @Media Wind Health Group2021 ~ 現在
・
Software engineer
2ヶ月以内
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
フルタイム / リモートワークに興味あり
4〜6年
Harbin Institute of Technology
・
Polar Environment
Past
Full Stack Developer @Dylish2020 ~ 2023
・
Software Engineer
1年以内
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
無職
フルタイム / リモートワークに興味あり
6〜10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
1ヶ月以内
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
・
就職希望
フルタイム / リモートワークに興味なし
4〜6年
朝陽科技大學
・
資訊工程系
Past
網頁程式開發（後端） @Evision Solution2019 ~ 2021
・
Software Engineer
1ヶ月以内
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
無職
フルタイム / リモートワークのみ
6〜10年
National University of Kaohsiung
・
Computer Science and Information Engineering
フルタイム / リモートワークに興味あり
6〜10年
Fju Jen Catholic University
・
Information Management
Data Engineer @漸強實驗室 Crescendo Lab Ltd.2020 ~ 2022
・
Software Engineer
1年以内
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
フルタイム / リモートワークに興味あり
4〜6年
國立台灣大學 National Taiwan University
・
資訊工程Senior Software Development Enginner @Sotera Wireless Inc.2023 ~ 現在
・
Software Engineer
1ヶ月以内
就職中
パートタイム / リモートワークに興味あり
6〜10年
NTUST
・
Graduate Institute of Automation And Control無職
フルタイム / リモートワークのみ
4〜6年
Temple University, Japan Campus
・
Computer Science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
Use the minus sign to eliminate results containing certain words
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