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上級
On
4〜6年
6〜10年
10〜15年
15年以上
Taipei City, Taiwan
無職
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
國立政治大學
・
Computer Science
Staff Software Engineer @全得資通有限公司2019 ~ 現在
・
Staff software engineer
1ヶ月以内
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
就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
6〜10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 ~ 現在
・
前端工程師 Front-End Developer
1ヶ月以内
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
就職中
・
就職希望
フルタイム / リモートワークに興味あり
10〜15年
國立東華大學 | National Dong Hwa University
・
諮商與臨床心理學系就職中
・
就職希望
フルタイム / リモートワークに興味あり
6〜10年
元智大學
・
CSE就職中
・
就職を希望していません
フルタイム / リモートワークに興味あり
4〜6年
國立台灣大學 資訊工程學研究所
・
資訊工程系
資深軟體工程師 @貝殼放大2020 ~ 現在
・
全端工程師
1ヶ月以内
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
Reputation Credits1
就職中
・
就職を希望していません
フルタイム / リモートワークに興味あり
4〜6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 ~ 現在
・
Taipei,Taiwan
1ヶ月以内
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
就職中
・
就職を希望していません
フルタイム / リモートワークに興味あり
4〜6年
長庚大學
・
資訊工程
前端開發工程師 @和泰聯網2022 ~ 現在
・
前端工程師 Front-End Developer
1ヶ月以内
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...
就職中
・
就職を希望していません
フルタイム / リモートワークに興味あり
4〜6年
輔仁大學 Fu Jen Catholic University
・
軟體工程與數位創意
Software Engineer @BenQ2020 ~ 現在
・
前端工程師 Front-End Developer
1ヶ月以内
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
就職中
フルタイム / リモートワークに興味あり
4〜6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
1年以内
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
就職中
フルタイム / リモートワークに興味あり
4〜6年
國立台灣大學 National Taiwan University
・
資訊工程最も簡単で効果的な採用プラン
80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
- 検索結果をすべて閲覧
- 新しい会話を無制限に始められます
- 有料企業にのみ履歴書を公開
- ユーザーのメールアドレスと電話番号を確認
検索のコツ
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
Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
現在の状況
就職中
求人検索の進捗
Professions
Machine Learning Engineer
Fields of Employment
ソフトウェア
職務経験
2〜4年の職務経験（1〜2年関連）
Management
スキル
言語
English
・
流暢
Job search preferences
希望のポジション
求人タイプ
フルタイム
希望の勤務地
台灣台北市
リモートワーク
リモートワークに興味あり
Freelance
いいえ。
学歴
学校
國立臺灣師範大學
専攻
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.