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4-6 years
6-10 years
10-15 years
More than 15 years
Engineer @中華電信2021 ~ Present
・
software engineer
Within one year
NET CORE）、Linq 前端：JavaScript、jquery 系統架構：DDD、OOP架構 資料庫：MSSQL、MySQL 參與敏捷式開發經驗 Skills Tools ASP.NET(MVC) .NET Framework .NET Core RabbitMQ LINQ MS SQL HTML, CSS, JavaScript VisualStudio VSCode Git/Github Postman Swagger API Document JeMast Report Builder IBM API management Job DecPresent Engineer , 中華電信 .NET系統架構開發軟體，並確保滿足功能性需求、非功能性需求、品質及可
Employed
Full-time
6-10 years
明新科技大學
・
資訊工程系
Past
後端工程師 @Canner （易開科技）2023 ~ 2024
・
Senior Backend Engineer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
東海大學 Tunghai University
・
資訊工程
資深工程師 @ViewSonic Corporation 優派國際股份有限公司2023 ~ Present
・
資深軟體工程師
Within three months
端，以及local端， 所有相關app資訊可以從google play上查詢得到(參考列表C內容)。 A. Skill : 1. Java && Kotlin && Dart(Flutter) 2. Android SDK && AndroidX SDK && Flutter SDK && Third party SDK(include github) 3. Restful API 4. Git 5. Customize UI Component(Jetpack Compose) 6. IAP(In-app Billing V3 API) 7. Firebase Cloud Messaging(FCM- send && receive) SDK 8. Relam(android - database) 9. Gradle && JNI 10. Scrum 敏捷式開發 11
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國防大學
・
電子研究所
Flutter @FreeLancer2016 ~ Present
・
Within one month
FreeLancer MayPresent I work as a freelancer android developer MimTech JanuaryJanuaryyears of activity in the field of Android programming as the head of the Android department flutter app target JanuaryJanuary 2022 Building a target application related to crypto currencies and stocks download in bazar : target flutter app account manager JanuaryJanuary 2022 Building account manager app related to save account and bank card information download in bazar : account manager : مدیریت حساب Skills Flutter App Developement Flutter with Provider firebase Git Android Studio Java HTML/CSS PHP Flutter Developer Github Android App Android Development Languages Persian — Native or Bilingual English — Fluent
Part-time / Interested in working remotely
4-6 years
DevOps Engineer @Bizongo
DevOps Engineer, Site Reliability Engineer
Within six months
Full-time / Not interested in working remotely
6-10 years
Tilak Maharashtra University, Pune - India
・
Computer Applications
Frontend Engineer @Botrista 百睿達有限公司2023 ~ Present
・
Software Engineer
Within one month
題的樂趣！ 職稱：前端工程師 地點：台北 信箱： [email protected] 電話：技能 JavaScript Vue、React Typescript ES6+ 使用 AJAX 串接 RESTful API GraphQL、Apollo Client ESLint CSS CSS Sass PostCSS TailwindCSS、WindiCSS Tools Git Vite Webpack Docker 前端專案 GAGU 傢俱電商 GitHub | Demo 使用技術 JavaScript 使用 Vue CLI 快速產生專案架構 使用 VueRouter 管理路由 使用 Vuex 做資料管理 使用 axios
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
I-SHOU University (ISU)
・
Information Management
高級專員 @知識達數位科技股份有限公司2020 ~ 2022
・
軟體工程師
Within two months
以應對生產公差 加入後6個月團隊完成，prototyping & Android APP demo 技能 Web Python flask Nginx PHP IaC & Orchestration Ansible Terraform K8s Log collection & monitor ELK Stack Promethues Grafana DB MySQL MS SQL Server PostgreSQL Redies Cloud AWS Base Git Linux Jenkins 學歷國立虎尾科技大學 資工系 大二加入 行動應用與軟體工程實驗室，指導教授同時管理學校電算中心 協助電算
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
國立虎尾科技大學
・
資工系Employed
Full-time / Interested in working remotely
6-10 years
國立勤益科技大學 National Chin Yi University of Technology
・
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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
Current status
Studying
Job Search Progress
Professions
Software Engineer, Python Developer, Machine Learning Engineer
Fields of Employment
Software, Artificial Intelligence / Machine Learning, Robotics
Work experience
Less than 1 year
Management
None
Skills
Languages
English
・
Professional
German
・
Fluent
Chinese
・
Native or Bilingual
Job search preferences
Positions
Software Engineer
Job types
Full-time
Locations
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
Remote
Interested in working remotely
Freelance
No
Educations
School
國立清華大學
Major
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