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
Senior Software Engineer @ThunderCore 閃電核心科技2023 ~ 2023
・
Software Engineer
一個月內
Chien-Che Hung Taipei City, Taiwan || [email protected] Full Stack Developer | Blockchain Developer Work Experience Senior Software Engineer • ThunderCore MarchSep 2023 | Taipei, Taiwan TTWallet Backend Service Designed and implemented a service facilitating cross-chain bridging for web3 wallets, ensuring seamless integration with Multichain. Primary languages and tools used included Node.js, Nest.js, and ethers.js. Designed and implemented a real-time, cross-language, and cross-timezone push notification system. Additionally, developed an internal API empowering the operations team to send custom push notification requirements. TTFarm | GameFi project on the
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立政治大學
・
Computer Science
Backend Engineer @群馥科技股份有限公司(Fortuna Intelligence Company,LTD)2023 ~ 現在
・
前端工程師、後端工程師、全端工程師
一個月內
提升，曾經成功將系統可承載上限從 6000 人優化至人。我積極學習新技術，善於解決問題並具有良好的團隊合作能力。 SKILL SET Backend frameworks: Spring Boot(Java) and Nest.js(Node.js) Frontend Frameworks: React, Vue Containerization and deployment: Docker, Kubernetes Automation: GitLab CI/CD, Shell script Programing languages: JavaScript, Java, Python, Go, C++ Databases: Mongo, Postgres, Redis Message Brokers: Kafka, NATS, RabbitMQ, MQTT Others: Nginx, RESTful, Graphql
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
國立聯合大學 National United University
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資訊工程
Senior Full-Stack Developer @Jibble Group2019 ~ 現在
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Full-Stack Developer
超過一年
Dino Kong (Jung-wei Kung, 孔容偉) 10 years of full-stack web development experience, 6 years of experience working with (remote) international teams. Proficient in modern Javascript, Node.js, Typescript. LinkedIn Github Hsinchu, [email protected] Skills Languages / Frameworks Javascript Typescript Node.js Vue.js React.js, Redux.js RxJs Webpack Loopback/Express.js Jest, Mocha, Cypress, etc. PHP Laravel PHPUnit, Behat Java Python DevOps AWS Google Cloud Platform Docker, Microservices CI/CD (CircleCI, Travis, Bitbucket pipeline, Codeship) Database (MongoDB, MySQL, Postgres, SQLServer, Redis
目前沒有興趣尋找新的機會
全職 / 我只想遠端工作
6 到 10 年
National Taiwan University
・
Computer Science
曾任
Graphics Engineer @Phase 德商飛思軟體有限公司2023 ~ 2024
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Senior Software Engineer
一個月內
which includes writing a frontend SPA and backend APIs, and setting up a server. 2. Assisting in maintaining server machines and networking. Education SepJan 2018 National Taiwan University Electrical Engineering (dropped out) Skills Languages English (Business) Mandarin (Native) Programming Languages C++ C# Lua Ruby JavaScript Engines/Frameworks Unity Engine Godot Engine OpenGL Ruby on Rails ReactJS Other Tools Git CMake Blender Krita Projects 1. Phase internal render engine: A 2D vector graphics render engine, built from scratch using WebGL. 2. Out of The Ashes: A 3D adventure RPG game set
待業中
・
目前沒有興趣尋找新的機會
全職 / 我只想遠端工作
4 到 6 年
國立臺灣大學
・
電機工程學系
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
National Taiwan University
・
Computer Science and Information Engineering
曾任
前端工程師 @Asus 華碩電腦股份有限公司2023 ~ 2023
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前端工程師 Front-End Developer
一個月內
決方案。 工作之餘會透過網路上的資源及 Trace 開源專案程式碼學習技術，增強自己的競爭力，待有朝一日能應用在工作上。 Major JavaScript TypeScript HTML CSS Frameworks/Libraries React Vuejs Nuxtjs Others Git Jest 工作經歷 前端工程師 華碩 AOCC (Contractor) • 五 月十月 2023 使用 React 建立 UI 元件庫，並移除對 MUI 的依賴。 建立
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
逢甲大學
・
光電系
一個月內
//03 軟體工程師 泛太資訊 依客戶需求開發維護業務管理系統(lotus Notes) 學歷 國立中興大學 資管系 2004//06 技能 Front End HTML CSS JavaScript TypeScript Libraries/Frameworks Vue2, Vue3(Vue Router, Vuex, Pinia, Axios) React Tailwind CSS jQuery Egret.js Back End 職涯前期為後端，稍懂後端知識 Java SQL語法 Lotus Notes Server linux指令 shell sript Version Control Git(Sourcetree
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
國立中興大學 (National Chung Hsin University, NCHU)
・
資管系就職中
・
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
國立雲林科技大學
・
資訊工程
Front-end Engineer @PX Mart Co., Ltd.(Taipei, Taiwan)2022 ~ 現在
・
Front-End Developer
一個月內
Wei-An Chen (Kuma) Front-end Engineer New Taipei City, Taiwan Hello, I'm Wei-An Chen, my nickname is Kuma. Currently looking for front-end d eveloper job. Innovative Front End Developer with 4+ years experience building and maintaining responsive websites. Proficient in HTML, CSS, JavaScript; plus modern libraries and frameworks like Angular2+ and Vue.js. In addition, back-end skill focus on using C#, creating a web API with ASP.NET Core, etc. Also having developed and CI/CD experiences. Please contact me on my cakeresume
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全職 / 我只想遠端工作
6 到 10 年
The University of Tokyo
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B.S Computer Science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
就職中
求職階段
專業
機器學習工程師
產業
軟體
工作年資
2 到 4 年工作經驗（1 到 2 年相關工作經驗）
管理經歷
技能
語言能力
English
・
進階
求職偏好
希望獲得的職位
預期工作模式
全職
期望的工作地點
台灣台北市
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
國立臺灣師範大學
主修科系
資訊工程研究所, 東吳大學巨量資料管理學院學士
Adam Wang
2+ years of experience in Computer Vision, Deep Learning.
6+ years of experience in Python programming.
Professional in DeepFake Detection, AI OCR.
Taipei, Taiwan
[email protected]
Thesis
Face Forgery Detection with Frequency and Recurrent Features
TF-Net is a deepfake detection model, considering features from self-supervised template maps, frequency domain by the DCT (discrete cosine transform) module, sequential correlation from the GRU module.
This work has the SOTA performance on generalization of Celeb-DF dataset. (0.85 AUC score)
Work Experience
Software Engineer Aug. 2021 -- Nov. 2021
Sightour, Inc.
I am responsible for training multiple handwritten OCR models, adopting and improving current deep learning-based SOTA handwritten generating technology to generate handwritten data, designing specific post-rule for each type of insurance sheet and telecom bills to increase the accuracy of the word for word recognition rate by 30%.
Crawler Engineer Intern Dec. 2020 -- Jul. 2021
Big Data Co., Ltd.
As a member of the crawler team, I'm responsible for the development and maintenance of the crawler system of several thousands of websites, blogs, news, and social media (fb, ig), crawling by Python Scrapy framework, parsing documents by PyQuery, storing them into Redis or Elasticsearch database, testing by Pytest.
Research Intern Jul. 2020 -- Aug. 2020
Research Center for Information Technology Innovation, Academia Sinica
My team is responsible for Image Forgery Detection related research, studying SOTA papers and improving its algorithm, adding attention, non-local, ASPP, guiding mask and other mechanism, and combining other common image segmentation algorithms in order to achieve performance beyond that of the SOTA method.
Skills
- Languages: Python, R, C++, C, JavaScript.
- Frameworks and Tools: PyTorch, TensorFlow, Keras, Scrapy, Selenium, Git, Vim, Tableau, Docker, Shell.
- Web Technologies: D3.js, HTML, XML, SQL, Redis.
Education
National Taiwan Normal University Sep. 2019 -- June 2021
- M.S. in Computer Science and Information Engineering
Soochow University Sep. 2015 -- June 2019
- B.S. in School of Big Data Management
Projects
Scrapy Crawler and Flask Data Visualization
Static website crawler of PTT Gossiping forum using Scrapy framework, processing and analyzing data , visualizing popular articles and comments on website by Flask framework.
Irwin Mango Grade Classification Competition
Use Yolov4 for mango area detection, cropping and fed to some common image recognition backbones (such as AlexNet, HRNet, etc.) to learn defect features, and then use ensemble method, deep mutual learning for grade classification.
Web Design and Data Connection
Use D3.js to implement website data visualization, use php to access MySQL database, and draw the US map with some skills like transition, and hover with a variety of visual channels to connect a histogram with a map of the USA.
Final Project of Pattern Recognition Class
Fusion and modify two CVPR 2019 paper's algorithms ArcFace and RegularFace to reach 75% accuracy for face recognition on CASIA-WebFace dataset, which has 0.5M images for 7927 identities.
Graduation Project
SlopeOne is a general algorithm of recommender systems, which follows the user's usage record and compares the user's possible purchase behavior with other similar records in the database. This research combines the dynamic K-nearest neighbor theory to solve the common scalability problems of recommender systems.
Additional Information
Languages: Native in Chinese, fluent in English (TOEIC: 810/990), beginner in Korean.
Adam Wang
2+ years of experience in Computer Vision, Deep Learning.
6+ years of experience in Python programming.
Professional in DeepFake Detection, AI OCR.
Taipei, Taiwan
[email protected]
Thesis
Face Forgery Detection with Frequency and Recurrent Features
TF-Net is a deepfake detection model, considering features from self-supervised template maps, frequency domain by the DCT (discrete cosine transform) module, sequential correlation from the GRU module.
This work has the SOTA performance on generalization of Celeb-DF dataset. (0.85 AUC score)
Work Experience
Software Engineer Aug. 2021 -- Nov. 2021
Sightour, Inc.
I am responsible for training multiple handwritten OCR models, adopting and improving current deep learning-based SOTA handwritten generating technology to generate handwritten data, designing specific post-rule for each type of insurance sheet and telecom bills to increase the accuracy of the word for word recognition rate by 30%.
Crawler Engineer Intern Dec. 2020 -- Jul. 2021
Big Data Co., Ltd.
As a member of the crawler team, I'm responsible for the development and maintenance of the crawler system of several thousands of websites, blogs, news, and social media (fb, ig), crawling by Python Scrapy framework, parsing documents by PyQuery, storing them into Redis or Elasticsearch database, testing by Pytest.
Research Intern Jul. 2020 -- Aug. 2020
Research Center for Information Technology Innovation, Academia Sinica
My team is responsible for Image Forgery Detection related research, studying SOTA papers and improving its algorithm, adding attention, non-local, ASPP, guiding mask and other mechanism, and combining other common image segmentation algorithms in order to achieve performance beyond that of the SOTA method.
Skills
- Languages: Python, R, C++, C, JavaScript.
- Frameworks and Tools: PyTorch, TensorFlow, Keras, Scrapy, Selenium, Git, Vim, Tableau, Docker, Shell.
- Web Technologies: D3.js, HTML, XML, SQL, Redis.
Education
National Taiwan Normal University Sep. 2019 -- June 2021
- M.S. in Computer Science and Information Engineering
Soochow University Sep. 2015 -- June 2019
- B.S. in School of Big Data Management
Projects
Scrapy Crawler and Flask Data Visualization
Static website crawler of PTT Gossiping forum using Scrapy framework, processing and analyzing data , visualizing popular articles and comments on website by Flask framework.
Irwin Mango Grade Classification Competition
Use Yolov4 for mango area detection, cropping and fed to some common image recognition backbones (such as AlexNet, HRNet, etc.) to learn defect features, and then use ensemble method, deep mutual learning for grade classification.
Web Design and Data Connection
Use D3.js to implement website data visualization, use php to access MySQL database, and draw the US map with some skills like transition, and hover with a variety of visual channels to connect a histogram with a map of the USA.
Final Project of Pattern Recognition Class
Fusion and modify two CVPR 2019 paper's algorithms ArcFace and RegularFace to reach 75% accuracy for face recognition on CASIA-WebFace dataset, which has 0.5M images for 7927 identities.
Graduation Project
SlopeOne is a general algorithm of recommender systems, which follows the user's usage record and compares the user's possible purchase behavior with other similar records in the database. This research combines the dynamic K-nearest neighbor theory to solve the common scalability problems of recommender systems.
Additional Information
Languages: Native in Chinese, fluent in English (TOEIC: 810/990), beginner in Korean.