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4 à 6 ans
6 à 10 ans
10 à 15 ans
Plus de 15 ans
Past
Product Manager @Binance2022 ~ 2023
・
Front-end Engineer, Product Manager
Dans 1 mois
Sans Emploi
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
National Chengchi University
・
Innovation and Intellectual Property ManagementPast
資深工程師 @Velodash Inc.2019 ~ 2023
・
Android / Flutter / Backend
Dans 1 mois
Sans Emploi
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
國立成功大學
・
資訊工程學系Android 軟體工程師 @Lafresh益欣資訊2019 ~ Présent
・
Android App Developer
Dans 1 mois
Employé
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
國立成功大學
・
工程科學所(在讀)
Director @朕來雲端工作室2023 ~ Présent
・
管理職
Dans 1 mois
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.
Employé
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
Plus de 15 ans
輔仁大學
・
資訊管理
工程師
Dans 2 mois
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
Sans Emploi
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
高雄應用科技大學
・
電機系
Past
Senior Backend Engineer @瑪黑家居選物股份有限公司2023 ~ Présent
・
Software Engineer / Backend Engineer
Dans 1 mois
</> 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
Sans Emploi
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
國立東華大學 | National Dong Hwa University
・
Global Logistics Management
Past
IoT software engineer @Upwork as a Freelancer2022 ~ Présent
・
CTO、Sr.Software Manager、Sr.Software Engineer
Dans 1 mois
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
Sans Emploi
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
Plus de 15 ans
國立中興大學
・
物理
Engineer @鴻霖2022 ~ Présent
・
軟體工程師
Dans 1 mois
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
Employé
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
國立中正大學
・
資訊工程
Past
DevOps Engineer @Crypto.com2023 ~ Présent
・
DevOps Engineer, Site Reliability Engineer
Dans 1 mois
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
Sans Emploi
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
California Lutheran University
後端工程師 @Glossika2022 ~ Présent
・
資深工程師
Dans 1 mois
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.
Employé
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
國立清華大學
・
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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
Statut Actuel
Étudiant
Progrès de la Recherche d'Emploi
Professions
Software Engineer, Python Developer, Machine Learning Engineer
Fields of Employment
Logiciel, Intelligence Artificielle / Machine Learning, Robotique
Expérience Professionnelle
Moins de 1 an
Management
None
Compétences
Langues
English
・
Professionnel
German
・
Courant
Chinese
・
Natif ou Bilingue
Job search preferences
Position Désirée
Software Engineer
Type d'emploi
Temps plein
Lieu Désiré
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
Travail à distance
Intéressé par le travail à distance
Freelance
Non.
Éducation
École
國立清華大學
Spécialisation
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