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PortfolioTrình bày kỹ năng chuyên môn và dự án đã thực hiện một cách sinh động, trực quan.CVTạo CV online chuyên nghiệp, miễn phíTạo CVTạo CV online chuyên nghiệp, miễn phíMẫu CVTruy cập kho mẫu CV online ấn tượng, chuẩn quốc tế.CV mẫuTham khảo các CV mẫu đẹp đã được người dùng CakeResume ứng tuyển thành công.Cẩm nang nghề nghiệpTìm hiểu cách viết CV cho từng ngành nghề và vị trí.Trợ giúp viết CVTham khảo lời khuyên từ các chuyên gia tuyển dụng của CakeResume.- Kho tài nguyênCẩm nang ứng viênThế giới công sởVề đối tácCẩm nang doanh nghiệpVề CakeResumeBài viết nổi bật
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4-6 năm
6-10 năm
10-15 năm
Hơn 15 năm
Past
PM @滾石移動股份有限公司2020 ~ 2023
・
前端工程師
Trong vòng một tháng
大學 大眾傳播 資展國際(原資策會) 2023//11 技能 JavaScript HTML5 CSS3 Figma jQuery 技能 React Node.js PHP AJAX / JSON 串接第三方 API AJAX 獲取遠端資料 技能 Git/Github HTML5 RWD 響應式規劃 Bootstrap MySQL 專案 滾石移動官網更新 參與部分規劃及合作 昇恆昌網站 初期規劃及維運 專案 Melody Oasis - 律洲 勝
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・
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
10-15 năm
文化大學
・
大眾傳播
Past
都市計畫工程師 @CECI Engineering Consultants, Inc. Taiwan (台灣世曦工程顧問股份有限公司)2020 ~ 2022
・
前端工程師 Front-End Developer
Trong vòng một tháng
Thất nghiệp
・
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
國立成功大學 National Cheng Kung University
・
都市計劃
Past
櫃台接待人員 @洛碁飯店集團 Green World Hotels2020 ~ 2022
・
Software Engineer
Trong vòng ba tháng
發模式。 技能 前端 HTML / CSS / RWD Bootstrap JavaScript Ajax /Fetch 後端 C# / . NET ASP .NET Core MVC MS-SQL Dapper ORM - Entity Framework Core 平台及工具 Visual Studio Visual Studio Code Azure DevOps Microsoft Azure Git/GitHub Postman/Swagger Openable 餐廳訂位平台 Openable 前台 採用無密碼登入方式 以驗證Email進行註冊並可綁定Line Openable 後台 登入帳號：admin 登入密碼
Thất nghiệp
・
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
Build School 軟體開發培訓課程
・
Software BeginnerPast
Senior Software Engineer @KKday2022 ~ 2023
・
Software Engineer
Trong vòng một tháng
Thất nghiệp
・
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
National Kaohsiung University of Applied Sciences
・
Compute Science
Software Engineer
Hơn một năm
Samuel L Johnson Software Engineer • Denver, US • www.sam-johnson.io [email protected] • sljohnson • sljohnson32 Skills Languages/Frameworks: JavaScript, HTML5, CSS3, React TDD: Mocha, Chai, Enzyme, Jest, Sinon Libraries: Redux, Express, Knex, jQuery, Leaflet, Charts, Google Maps API Workflow: git/Github, Heroku, Continuous CI, Waffle.io, Webpack Education Turing School • Denver, COCertificate, Front End Engineering Trinity College • Hartford, CTBA, Economics Projects School Finder - Turing Personal Project Enables users to map and get directions from a home address for DPS schools based on their commute and school-based preferences R eact.js
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
10-15 năm
Trinity College (CT)
・
BA, EconomicsThất nghiệp
・
Bật trạng thái tìm việc
Full-time / Không quan tâm đến làm việc từ xa
6-10 năm
Build School 軟體開發培訓課程
・
.NET全端工程師培訓
iOS Developer / Engineer Manager (Consulting) @數字科技股份有限公司2023 ~ Hiện tại
・
App Team Lead, Senior iOS Developer
Trong vòng một tháng
Objective-C UIKit Core Data MVC/MVVM/Clean Architecture Design Patterns Testing(Unit/UI/SnapShot/E2E) Automation G Suite Google Apps Script Ruby Python Google Cloud Function CI/CD Backend PHP (Laravel/CI3) MariaDB/MySQL Redis Docker Linux Nginx Tools Asana Slack Git/Github Gitflow/Release Train Github Action Firebase Fastlane Sentry ChatGPT Experience - iOS Developer (6+ years) iOS Developer 數字科技股份有限公司 • 12//mos) 協助前公司新產品 - 出任務 iOS App 基礎
Đã có việc làm
・
Bật trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
國立臺灣科技大學
・
資訊管理系
Front-end Engineer @PX Mart Co., Ltd.(Taipei, Taiwan)2022 ~ Hiện tại
・
Front-End Developer
Trong vòng một tháng
NET Core, etc. Also having developed and CI/CD experiences. Please contact me on my cakeresume info or by email [email protected] Skill JavaScript JavaScript (ES6+) TypeScript Lodash RxJS RWD Layout Responsive Web Design CSS spacing classes knowledge Tailwind SCSS/Sass Tools Git/Github/GitKarken Azure DevOps Server/Gitlab/CodeCommit Linux Angular AngularAngular Material RxJS API connection Vue.js Vue2/Vue3 Quasar/bootstrapVue/vuetify Vuex/Pinia API connection Vite ASP.NET Knowledge about MVC pattern Razor page ASP.NET Core C
Đã có việc làm
・
Bật trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
Chung Hua University
・
Bachelor of Information Management
Past
後端工程師 @一步科技2022 ~ 2023
・
後端工程師
Trong vòng một tháng
上碰不到的技術，拓展自己在軟體方面的技能樹。 Backend Developer [email protected] 技能 後端 Golang/Gin/GORM RESTful API GraphQL MySQL/PostgreSQL Redis Elastic Search RabbitMQ NGINX HAProxy 其他 Git/Github Git Flow/Github Flow Github Actions Swagger Docker/Docker Compose 工作經歷 後端工程師 • 一步科技 一月十二月 2023 專案 ： 共享空間預定平台 網址： https://www
Thất nghiệp
・
Bật trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
台北市立大學
・
資訊
Software Test Automation Engineer @Atomica AI2021 ~ Hiện tại
・
QA automation engineer / Software development engineer in test
Trong vòng một tháng
Mohamed Raslan Software Test Automation Engineer Acting as Testing Team Lead at Atomica AI Mechatronics engineer working in the software industry as a software test automation engineer. A certified software tester (ISTQB CTFL, CTFL-AT, CTFL-MAT), Experienced in test automation, APIs, manual testing, and a lot of different tools, platforms & technologies. I have more than 4+ years of experience in testing, with +3 years of experience in test automation. Also, in my spare time, I managed to build and contribute to open-source tools that could help testers, like pytest-qatouch a python plugin
Đã có việc làm
・
Bật trạng thái tìm việc
Part-time / Chỉ làm việc từ xa
4-6 năm
Udacity
・
Cloud DevOps EngineerKế hoạch tuyển dụng đơn giản và hiệu quả nhất
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Professional Background
Tình trạng hiện tại
Đang học tập
Tiến trình tìm việc
Professions
Software Engineer, Python Developer, Machine Learning Engineer
Fields of Employment
Phần mềm, Trí tuệ nhân tạo/ Máy học, Robotics
Kinh nghiệm làm việc
Dưới 1 năm
Management
Chưa có
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German
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Vị trí
Software Engineer
Loại hình công việc
Full-time
Địa điểm
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
Làm việc từ xa
Quan tâm đến làm việc từ xa
Freelance
Không.
Học vấn
Trường học
國立清華大學
Chuyên ngành
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