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進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Taipei City, Taiwan
曾任
工程師 @博彥科技有限公司2018 ~ 2023
・
後端工程師
一個月內
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
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
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
一個月內
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
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立政治大學（National Chengchi University）
・
資訊科學系
曾任
資深工程師 @Velodash Inc.2019 ~ 2023
・
Android / Flutter / Backend
一個月內
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
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
國立成功大學
・
資訊工程學系
曾任
Technical Manager @仲琦科技2022 ~ 2023
・
PM/產品經理/專案管理
一個月內
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
待業中
・
正在積極求職中
全職 / 暫不考慮遠端工作
4 到 6 年
Chung Hua University
・
Computer Engineering
曾任
Software Engineer @ONElab Technology Ltd., 2019 ~ 2022
・
Backend developer/Full-stack developer
一個月內
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
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
Chang Gung University，CGU
・
Computer Science
Sr. Solutions Architect - Security @eCloudvalley Digital Technology Co., Ltd.2021 ~ 現在
・
Solutions Architect
兩個月內
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
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立臺灣科技大學 National Taiwan University of Science and Technology
・
Electronic and Computer Engineering 
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
National Chiayi University
・
應用數學系曾任
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
一個月內
待業中
・
目前會考慮了解新的機會
全職 / 暫不考慮遠端工作
6 到 10 年
國立成功大學
・
資訊工程就職中
・
目前會考慮了解新的機會
全職 / 我只想遠端工作
6 到 10 年
國防醫學院
・
解剖所
VP of R&D @TutorABC2021 ~ 現在
・
Technical management
一個月內
鍾旻峻 LineID: jimzhong Email: [email protected] Summary 8 years of engineering experience. 4 years of team leader. 1 year of team management. 7+ year of backend development experience. Specialties Technologies High-performance web server Restful API design Web socket Designing Distributed Systems Microservices CGI CDN Protocol Http / Thrift / Socket / gRPC / RTMP / HLS Primary Skills Development Backend: Golang / Python / PHP / Shell / Lua /C# Frontend: Javascript Formwork: Gin / Flask / .Net MVC Database: MySQL / MongoDB / SQL Server
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
10 到 15 年
中原大學
・
資訊管理最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
就學中
求職階段
專業
軟體工程師, Python 開發人員, 機器學習工程師
產業
軟體, 人工智慧 / 機器學習, 機器人科學
工作年資
小於 1 年
管理經歷
無
技能
語言能力
English
・
專業
German
・
進階
Chinese
・
母語或雙語
求職偏好
希望獲得的職位
Software Engineer
預期工作模式
全職
期望的工作地點
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
國立清華大學
主修科系
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