CakeResume 找人才
进阶搜寻
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
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
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
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
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
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
Build School 軟體開發培訓課程
・
Software Beginner待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
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
正在积极求职中
全职 / 对远端工作有兴趣
10 到 15 年
Trinity College (CT)
・
BA, Economics待业中
・
目前会考虑了解新的机会
全职 / 暂不考虑远端工作
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 ~ 现在
・
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
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
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 ~ 现在
・
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
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
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
待业中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
台北市立大學
・
資訊
Software Test Automation Engineer @Atomica AI2021 ~ 现在
・
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
就职中
・
目前会考虑了解新的机会
兼职 / 我只想远端工作
4 到 6 年
Udacity
・
Cloud DevOps Engineer最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
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
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
专业背景
目前状态
就学中
求职阶段
专业
软体工程师, Python 开发人员, 机器学习工程师
产业
软件, 人工智能 / 机器学习, 机器人科学
工作年资
小於 1 年
管理经历
无
技能
语言能力
English
・
专业
German
・
进阶
Chinese
・
母语或双语
求职偏好
希望获得的职位
Software Engineer
预期工作模式
全职
期望的工作地点
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
远端工作意愿
对远端工作有兴趣
接案服务
否
学历
学校
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