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Avatar of 黃季承.
Avatar of 黃季承.
Past
後端工程師 & DevOps @創業家兄弟Kuobrothers Corp.
2022 ~ 2024
Senior Backend Engineer | DevOps | SRE
Within one month
黃季承 Backend Developer | DevOps [email protected]我從事 5 年的電商後端開發與 1 年的 DevOps 維運,並參與超過 4 年的 Scrum 敏捷開發。後端主要負責產品功能研發、後台系統開發與既有服務重構。曾參與生活市集即享券開發,負責與合作夥伴釐清事項、跟 PM 討論整合方式、設
AWS
CI/CD Drone
Cloudflare
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Taipei University of Technology
資工系
Avatar of 李佳謙.
Avatar of 李佳謙.
Past
Marketing Manager @幫你優股份有限公司 BoniO Inc. / 閱讀優有限公司 TaaO Company Limited
2021 ~ Present
Marketing Manager
Within one month
李佳謙 CHIEN LI Marketing Manager / BoniO Inc. Marketing Strategy | Customer Growth 負責品牌行銷,規劃產品銷售策略,推動品牌會員成長 熟悉市場、訂閱經濟、平台營運 以終為始策略型思考,帶領團隊有效達到營運目標 工作專長 用戶、營運成長數據指標分析 Operating Data Management ● 產品市場規模及用戶調
WordPress
Google Analytics
Project Management
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
淡江大學
英文學系
Avatar of the user.
Avatar of the user.
Past
資深前端工程師 @比房科技
2022 ~ 2024
Frontend developer.
Within one month
Frontend
Backend
Product
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
暨南大學
電機工程
Avatar of the user.
Avatar of the user.
行銷副理 / KOL Radar 行銷科技事業部 @愛卡拉互動媒體股份有限公司
2021 ~ Present
品牌專案企劃、網路行銷企劃、數位行銷企劃
Within one month
Google Analytics
Sales & Marketing
Photoshop
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
臺北市立大學
英語教學系
Avatar of the user.
Avatar of the user.
智慧製造全端開發工程師 @聯華電子股份有限公司
2022 ~ Present
AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
Python
Qt
Git
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學
工業工程與管理學系所
Avatar of Sosuke Guo.
Avatar of Sosuke Guo.
Past
資深前端工程師 @辰凝有限公司
2022 ~ 2023
前端工程師 Front-End Developer
Within one month
Sosuke Guo 專職於網頁前端工程師近五年,擅於從0開始打造產品,有用Vue + Golang + Python自己打造產品的經驗。 前端工程師 Front-End Developer [email protected] 作品 - SocialPicMaker.com 製作精美Twtter card 的小工具網站 只要兩個步驟,輸入網址、點擊下載,即可完成 可以選擇黑白兩種介面佈
vue.js
golang
Python
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
Avatar of Patrick Hsu.
Avatar of Patrick Hsu.
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
2021 ~ Present
Software Engineer
Within one month
Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for
Python
AI & Machine Learning
Image Processing
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
生物產業機電工程所
Avatar of Jimmy Lu.
Avatar of Jimmy Lu.
Past
Lead of Country Product Manager @Asus 華碩電腦股份有限公司
2022 ~ 2023
Business Development / Product Manager / Product Marketing/ Strategy Manager
Within one month
Jimmy Lu (呂正彥) Senior Product Manager [Consumer Electronics Expatriate PM/Sales/BD] Entrepreneurship business development & management Leadership flexible & efficient international/cross-functional organizing Target-oriented project lead & SOP consolidation, product lifecycle management Begin with the end in mind Go-to-market execution Taipei, Taiwan < > London, UK https://www.linkedin.com/in/itsjimmy/ [email protected] Work experience Senior Product Manager [Consumer NB & Gaming ] • ASUSTeK Computer Indonesia JulDec 2023 | Jakarta, Indonesia Key responsibilities & Achievements - #business management #business development #team leading #cross-functional organizing
Business Development Project Management
Cross-Functional Project Management
Product Life Cycle Management
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立陽明交通大學(National Yang Ming Chiao Tung University)
Bachelor of management , Management of Transportation and Logistics
Avatar of Ryan Po-Hsuan Chang.
Avatar of Ryan Po-Hsuan Chang.
資深全端工程師 @誠諾工程技術股份有限公司
2023 ~ Present
Front-End / Back-End / Full Stack Web Developer
Within one month
張栢瑄 Ryan Po-Hsuan Chang 已有五年開發經驗,擅長使用Vue + TypeScript 和Laravel 來建構網頁系統,另外也有React 和Python 的開發經驗。喜歡挑戰新事務,不怕踩坑和重構,持續精進自己的技術。 Kaohsiung City, Taiwan https://ryanxuan930.github.io/ [email protected]技能 Frontend Nuxt (Vue 3) Next (React) Pinia TypeScript Tailwind CSS SCSS PrimeVue Next UI Backend
Vue.js
JavaScript
Python
Employed
Ready to interview
Full-time / Remote Only
4-6 years
國立中山大學 National Sun Yat-Sen University
人文暨科技跨領域學士學位學程
Avatar of 楊晟.
Avatar of 楊晟.
運維工程師 DevOps @愛盛娛樂科技有限公司
2019 ~ Present
Java 軟體工程師
Within one month
楊晟 運維工程師 DevOps New Taipei City, Taiwan 喜歡尋找程式碼中更優雅的做法,熱衷找到更高效率、更優雅的解決方案。 喜歡尋找 Solution,討厭遷就 Workaround https://www.cakeresume.com/sam0324sam 工作經歷 運維工程師 DevOps • 愛盛娛樂科技有限公司 七月Present - 全遠端 - (作品集) 使用 Java Quarkus 開發 RESTful API 後
JAVA
JavaScript
MySQL
Employed
Ready to interview
Full-time / Remote Only
4-6 years
National Kaohsiung First University of Science and Technology
電腦與通訊工程系

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Technical Skills
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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.
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More than one year
中央研究院資訊科技創新研究中心
2020 ~ 2020
Professional Background
Current status
Employed
Job Search Progress
Professions
Machine Learning Engineer
Fields of Employment
Software
Work experience
2-4 years work experience (1-2 years relevant)
Management
Skills
Computer Vision
Machine Learning
Deep Learning with PyTorch
Data Mining
Data Analysis
Data Visualization
python
Languages
English
Fluent
Job search preferences
Positions
Job types
Full-time
Locations
台灣台北市
Remote
Interested in working remotely
Freelance
No
Educations
School
國立臺灣師範大學
Major
資訊工程研究所, 東吳大學巨量資料管理學院學士
Print
Gklggubujuaemkeg1snz

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)
github   demo   thesis   docker

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.

paper   demo

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 (TOEIC810/990), beginner in Korean.
Resume
Profile
Gklggubujuaemkeg1snz

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)
github   demo   thesis   docker

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.

paper   demo

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 (TOEIC810/990), beginner in Korean.