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进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Taipei City, Taiwan
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立政治大學
・
Computer Science
Staff Software Engineer @全得資通有限公司2019 ~ 现在
・
Staff software engineer
一個月內
improving my skills and knowledge to keep myself on the top. Skills More than 10 years of work experience in software development. Proficient in Android , iOS , and Flutter application development. Skilled in backend server development, including RESTful API , GraphQL , WebSocket , and Message Queue , using NestJS ( Node.JS framework). Rich experience using DDD ( Domain-Driven Design ) as our software development approach, to bring ideas from the business perspective to the technical requirements. Experienced in cloud-native architecture using GCP, Azure, AWS, and other cloud service providers and XaaS providers. Experienced in the CICD tools
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
The University of Auckland
・
Computer Science
資深前端工程師 / 前端組長 @天堂遊戲有限公司 Paradise-Soft2023 ~ 现在
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前端工程師 Front-End Developer
一個月內
Cheng Hsun, Yu Front End Engineer / Javascript Developer Meticulous web developer with over 10 years of front-end experience. Passion for challenging new technologie [email protected] CAREER OBJECTIVE Meticulous web developer with front end experience, familiar with building web services from scratch Solid experience with Javascript and Javascript framework. Solid experience with service refactory and optimization, revamping the architecture to enhance maintainability. Work with agile methods, reach the product MVP as soon as possible and keep it for rolling adjustments Good at communication, teamwork and high flexibility. Passion for challenging new technologies
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
10 到 15 年
國立東華大學 | National Dong Hwa University
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諮商與臨床心理學系就职中
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目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
元智大學
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CSE就职中
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目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
4 到 6 年
國立台灣大學 資訊工程學研究所
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資訊工程系
資深軟體工程師 @貝殼放大2020 ~ 现在
・
全端工程師
一個月內
標與對象，並表達自己的想法。 持續學習，只有更好沒有最好。（技術、心法、溝通表達） FrontEnd HTML（Pixel Pipeline） CSS（對於間距細節有一定的敏感度） JavaScript (ECMAScript) Lint：BEM、Eslint Unti Test： Jest.js Builder：Gulp、Webpack.js、Esbuild.js Framework：Bootstrop5、Tailwind、jQuery、Vue.js、Nuxt.js、Vite、React.js、 Pixi.js、Three.js、AR.js、D3.js BackEnd Ruby Ruby On Rails Lint
就职中
・
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
4 到 6 年
中國科技大學(台北校區)
・
資料管理後端工程師 @威許移動股份有限公司 ( WishMobile, Inc. )2022 ~ 现在
・
Taipei,Taiwan
一個月內
鍾士鈞 Jin 後端工程師 6 年後端工作經驗，參與百萬用戶 ERP 系統架構設計和開發，熟悉 PHP Laravel 框架與 SQL 資料庫應用。 [email protected] Languages PHP Python Javascript Framework Laravel CakePHP Testing PHPUnit Database RDBMS MySQL NoSQL Redis GCP Engine Storage SQL DNS Other Linux Docker Git Work Experience 2022/05 - Present Taipei, Taiwan 後端工程師 威許移動 Wishmobile 在3人團
就职中
・
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
4 到 6 年
長庚大學
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資訊工程
前端開發工程師 @和泰聯網2022 ~ 现在
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前端工程師 Front-End Developer
一個月內
various projects, promoting consistent design and reducing development time. 【Skills to use】 React.js、Next.js、Redux、Redux Toolkit、axios、Scss、CSS-in-JS、Leaflet.js、MUI PChome eBay Co., Ltd. ( Ruten ) , Front-End Engineer Mar 2021 ~ Jul 2022 Refactored some pages of the website into Vue.js framework. Rewriting legacy code such as the HTML that embeds PHP and the JS that has a lot of jQuery to Vue.js in order to get rid of the old baggage. Modularized and merged website functionalities that wer...
就职中
・
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
4 到 6 年
輔仁大學 Fu Jen Catholic University
・
軟體工程與數位創意
Software Engineer @BenQ2020 ~ 现在
・
前端工程師 Front-End Developer
一個月內
期間的團隊合作，需要大家各盡其職， 在團隊中如何與成員溝通、互助學習，一起成長是重要的收穫 。 技能 Skills Front-end ●●●●○ CSS ●●●●○ Bootstrap ●●●○○ JavaScript/jQuery /Vue ●●○○○ RWD Back-end ●●○○○ MySQL PHP ●●●●○ RESTful API ●●○○○ LUA UI/UX Design/Others ●●●●○ Illustrator ●●●●○ Photoshop 版本控管：Git、SVN Office： visio Web Design for VUE.js javascript framework 番茄鐘 簡易倒數
就职中
全职 / 对远端工作有兴趣
4 到 6 年
中央大學
・
網路學習科技所
Data Engineer @漸強實驗室 Crescendo Lab Ltd.2020 ~ 2022
・
Software Engineer
一年內
Event Enhancement Network for Explainable Need Detection of Information Recall Assistance Conducted NLP research on lifelogging and proposed a new topic about event-based memory recall system during my master program at NTU. Published the paper at EMNLP (one of the top NLP conferences). Skills Programming Languages Python, Javascript Frameworks Django, Airflow, Laravel Database Systems PostgreSQL, Redis, Firestore, TimescaleDB, MariaDB Cloud GCP Pub/Sub Cloud Task, Cloud Function BigQuery, CloudSQL, Firestore Others Datadog Education National Taiwan University M.S., Computer Science, GPA: 4.11/4.3 AugAug 2022 National Taiwan University of
就职中
全职 / 对远端工作有兴趣
4 到 6 年
國立台灣大學 National Taiwan University
・
資訊工程最轻量、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
就职中
求职阶段
专业
机器学习工程师
产业
软件
工作年资
2 到 4 年工作经验（1 到 2 年相关工作经验）
管理经历
技能
语言能力
English
・
进阶
求职偏好
希望获得的职位
预期工作模式
全职
期望的工作地点
台灣台北市
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.