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
PM @滾石移動股份有限公司2020 ~ 2023
・
前端工程師
一個月內
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
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
10 到 15 年
文化大學
・
大眾傳播
曾任
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
一個月內
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立成功大學 National Cheng Kung University
・
都市計劃
曾任
櫃台接待人員 @洛碁飯店集團 Green World Hotels2020 ~ 2022
・
Software Engineer
三個月內
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
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
Build School 軟體開發培訓課程
・
Software Beginner待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
National Kaohsiung University of Applied Sciences
・
Compute Science
Software Engineer
超過一年
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
正在積極求職中
全職 / 對遠端工作有興趣
10 到 15 年
Trinity College (CT)
・
BA, Economics待業中
・
目前會考慮了解新的機會
全職 / 暫不考慮遠端工作
6 到 10 年
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 ~ 現在
・
App Team Lead, Senior iOS Developer
一個月內
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
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
國立臺灣科技大學
・
資訊管理系
Front-end Engineer @PX Mart Co., Ltd.(Taipei, Taiwan)2022 ~ 現在
・
Front-End Developer
一個月內
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
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
Chung Hua University
・
Bachelor of Information Management
曾任
後端工程師 @一步科技2022 ~ 2023
・
後端工程師
一個月內
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
待業中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
台北市立大學
・
資訊
Software Test Automation Engineer @Atomica AI2021 ~ 現在
・
QA automation engineer / Software development engineer in test
一個月內
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
就職中
・
目前會考慮了解新的機會
兼職 / 我只想遠端工作
4 到 6 年
Udacity
・
Cloud DevOps Engineer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