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On
4-6 years
6-10 years
10-15 years
More than 15 years
Taipei City, Taiwan
Past
工程師 @博彥科技有限公司2018 ~ 2023
・
後端工程師
Within one month
陳韋燁 Taipei, [email protected] 具備豐富後端及韌體相關經驗 要求程式碼簡潔，以clean architecture為目標 熟稔底層原理，深度理解OOP 精通TDD，力求程式碼品質 樂於追求挑戰，精益求精 工作經歷 工程師 • 博彥科技有限公司 八月十二月 2023 | Taipei, Taiwan 智慧門鎖 家庭IOT，強化自家
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
龍華科技大學
・
資訊網路工程
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
宋浩茹 Hao-Ru Sung| [email protected] | LinkedIn ｜ GitHub A s a Research Assistant at Academia Sinica , specializing in Generative AI research and application. With 3 + years of experience in NLP a nd Machine Learning , along with 4+ years in Backend Development . Proficient at translating complex theories into practical applications. Skills Languages: Python, R, SQL, MATLAB, C, C#, JavaScript, Node.js Software & Tools: PyTorch, PyTorch Lightning, Tensorflow, Scikit-Learn, NLTK , GCP, Linux, SQL / NoSQ , Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
資訊科學系
Past
資深工程師 @Velodash Inc.2019 ~ 2023
・
Android / Flutter / Backend
Within one month
Denny Cheng ( 鄭翔元 ) I am a software engineer with diverse skills. From 2016 to 2018, I was responsible for Android and backend development (Python Flask). From 2019 to 2023, my main focus was on Flutter and React. In addition, I also use C# for side project development. My skill set spans across the development of applications for various platforms, and I maintain a curious and learning-oriented attitude towards new technologies. Taipei, Taiwan [email protected] EducationNational Cheng Kung University ( 國立成功大學 ) Computer Science and Information
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學
・
資訊工程學系
Past
Technical Manager @仲琦科技2022 ~ 2023
・
PM/產品經理/專案管理
Within one month
LI-MING HUANG 〈 黃立明 〉 [email protected] https://www.linkedin.com/in/huangliming/ About - Software development team, environment, and discipline building. - Broad technical leadership experiences in software development, ranging from firmware of Router/IPCam, cloud platforms, a full stack of web-scale apps, and mobile. - Experience in software/hardware IoT integration, system bring-up, and diagnostics. - 5 years of startup(Founder/Software R&D leader) experience - 6+ years experience in cloud/backend solutions(AWS microservice/serverlessyears experience in Golang development
Unemployed
・
Ready to interview
Full-time / Not interested in working remotely
4-6 years
Chung Hua University
・
Computer Engineering
Past
Software Engineer @ONElab Technology Ltd., 2019 ~ 2022
・
Backend developer/Full-stack developer
Within one month
Chung-Jen Lai (Darren) [email protected], Taiwan Job History Full-stack Engineer, Core Service Team • ONElabMaintain backend programs by ASP.NET Framework and C#. Develop backend programs by ASP.NET Core and C#. Reduce program coupling, frontend and backend separation. Implement and apply Unit Test. Implement and apply Redis Monitor usage data by ELK and Grafana. Manage and deploy services by Docker. CI/CD automatic deployment by Gitlab. Use Git for version control and follow Git flow process. Manage development process by Scrum mode
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
Chang Gung University，CGU
・
Computer Science
Sr. Solutions Architect - Security @eCloudvalley Digital Technology Co., Ltd.2021 ~ Present
・
Solutions Architect
Within two months
an increasingly important topic that is often overlooked. I'm specialized in reviewing customers' AWS environments using the Well-Architected Framework. Through collaborative efforts, I provide valuable insights and recommendations to ensure clients achieve their business objectives while maintaining a strong security posture. Summary: Cloud Architected Review Backend development (Typescript, NodeJS, ExpressJS, Python) Cloud technologies (AWS, Azure) Serverless backend and containerized applications CI/CD on Github, GitLab Infra as Code(CDK, Cloudformation, Terraform) EXPERIENCE Sr. Solutions Architect - Security • eCloudvalley Digital Tcchnology Co., Ltd. DecPresent Reviewing and analyzing clients' cloud infrastructure to identify potential
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺灣科技大學 National Taiwan University of Science and Technology
・
Electronic and Computer Engineering 
Full-stack Developer @JOBALL找專家-專業人才外包網2020 ~ Present
・
軟體開發相關
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Chiayi University
・
應用數學系Employed
・
Open to opportunities
Full-time / Remote Only
6-10 years
國防醫學院
・
解剖所Past
Senior Backend Engineer @iKala 愛卡拉互動媒體股份有限公司2023 ~ 2024
・
Data engineer / Backend engineer / Software engineer
Within one month
Unemployed
・
Open to opportunities
Full-time / Not interested in working remotely
6-10 years
國立成功大學
・
資訊工程
Senior Backend Engineer @Appier 沛星互動科技2022 ~ Present
・
軟體工程師
Within one month
Lewis Chang Full-Stack developer Taipei City, Taiwan Email: [email protected] - 4 years in technical leadership and web backend/frontend. - Hands-on experience in Python(Django, Flask, FastAPI) backend service - Deep understanding of Relational Database(MySQL). - Good at organizing people to solve complex technical and business problems Senior Backend Developer • appier NovNow - Built campaign delivery service of a MarTech product that can sends customized content to millions of users in few minutes. - Responsible for a cross team product that requires heavy communication skill. - Migrated report generation pipeline to Argo Workflow, a scalable
Employed
・
Not open to opportunities
Full-time
4-6 years
National Central University
・
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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