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On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
曾任
Service Provider @Taron Solutions Limited2023 ~ 2023
・
AI工程師、機器學習工程師、電腦視覺工程師、資料科學家、Machine Learning Engineer、Computer Vision Engineer、Data Scientist
一個月內
李慕全(MuChuan Li) 畢業於國立臺北科技大學資工所，研究領域為深度學習、電腦視覺、及影像處理。在學期間致力於應用電腦視覺技術解決交通問題，擁有多項產學合作的專案開發經驗，亦在電腦視覺領域中發表過多篇學術論文，主要研究主題包含物
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立臺北科技大學
・
資訊工程
技術部門經理 @沛鑫包裝科技2018 ~ 現在
・
R & D technologist/program manager
一個月內
曾文鍾 研發主管 | 專注於工業自動化與智慧製造領域的技術變革 新竹，TW • [email protected] 摘要 具有豐富現場實務經驗的 研發主管 ，專注於 工業自動化與智慧製造 領域，著墨於電腦視覺與深度學習。在過去的工作中，成功領導多個創新專案，通過
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
國立中興大學
・
機械
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
國立聯合大學 National United University
・
電子工程
曾任
Data Engineer @Rooit Inc. (XO App)2023 ~ 2023
・
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
識 - 自動辨識試片有無檢體、PH試紙有無使用 - 儀器晃動偵測 技能 - Python(4年) - Data Analysis - Business Analyst - Recommend System - Tableau - Bigquery - DL/ML/RL - MongoDB - Neo4j - Geometrics of Deep Learning - Software Develop - Computer vision 學歷 中國醫藥大學(China Medical University), 碩士學位, 臨床醫學研究所, 2012 ~ 2017 中國醫藥大學(China Medical University), 學士學位, 生物醫學影像暨放射科學
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
中國醫藥大學(China Medical University)
・
臨床醫學研究所
曾任
博士後研究員 @洛桑大學神經發育疾病實驗室2023 ~ 2023
・
Data Scientist, Data Analyst, Machine Learning Engineer
一個月內
陳勤霖 神經工程博士背景的數據分析師 Ph.D. in Neuroscience from Neuroengineering lab I have 5 years of hands-on experience in image and data analysis with biotechnology innovation projects. Dependable ability in managing collaborative projects to success. Business-driven motivation to apply analytic skills to optimize the product and its development procedure. https://chinlinchen1312.wixsite.com/chin-lin-chen 工作經歷 一月十二月 2023 博士後研究員 洛桑大
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
洛桑聯邦理工學院(EPFL)
・
神經科學
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ 現在
・
Software Engineer
一個月內
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
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立台灣大學
・
生物產業機電工程所
經理 @鴻博資訊有限公司2015 ~ 現在
・
軟體工程師、電玩程式設計師、後端工程師、APP開發工程師、演算法開發工程師
一個月內
Wang Wen Shang Tainan City, Taiwan || [email protected] Work Experience Manager • Winerva Software Technology Co., Ltd. 四月Present | Taipei, Taiwan Visual Inspection Product Development Product Introduction ∶ https://www.winerva.com/portfolio Project Introduction ∶ https://drive.google.com/drive/folders/1bWVlaIMSOkZJ60wfYuyBcnz1adehqsyo?usp=drive_link Computer Vision Software Engineer • Weijun Precision Machinery Co., Ltd. 十一月三月 2015 | Taipei, Taiwan Product∶ Screw AOI Isnpection System Project Deputy Manager • Genesis Technology ,Inc. 七月一月 2010 | Taipei, Taiwan Product
就職中
・
正在積極求職中
全職 / 我只想遠端工作
10 到 15 年
崑工科技大學
・
電子工程
AI Engineer @Playsee2022 ~ 現在
・
資料分析師、資料科學家、產品經理
一個月內
李昀庭 Data scientist Taiwan 技能 Machine learning and Engineering skills: Python, Big Query, Google Storage, Linux, Docker, GCP, AWS, Scikit-learn, Tensorflow, Pytorch, MLOps, FastAPI, Machine Learning, Deep Learning, Computer Vision, NLP Experimental design, Project management, Product design English - TOEIC 725 工作經歷 AI工程師 Playsee NovPresent Taipei, Taiwan 自動化標註推薦系統 設計並實踐架構取代25個標註者並及時標記和篩選視頻審核內容。 設計並優化影片
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
National Cheng Kung University
・
心理所（認知科學所）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
Georgia Institute of Technology
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Doctor of Philosophy in Structural EngineeringData Analyst & IoT Software Developer @FARAZ ERTEBAT2021 ~ 現在
・
Computer Vision / Deep Learning
一個月內
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
University of Qom
・
Information Technology | Face Recognition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