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Senior AI Research/Engineer (part-time) @NeuroBonic Inc.2022 ~ 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
Trong vòng một tháng
Đã có việc làm
・
Bật trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
National Yang Ming Chiao Tung University
・
Computer ScienceSoftware Engineer @三維人股份有限公司2020 ~ Hiện tại
・
前端工程師 Front-End Developer
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Tắt trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
國立臺北科技大學
・
資訊工程
Senior software engineer @Compal Electronic, Inc.2019 ~ Hiện tại
・
AI工程師、後端工程師
Trong vòng một tháng
上課程平台，在專案中擔任AI功能與後端需求開發的角色，負責優化AI相關識別正確率與系統restful API開發。 Skills Programming languages Python Javascript C# Deep learning ( Vision ) OpenCV Tensorflow Linux (Ubuntu) Tools Git Keycloak RabbitMQ Jenkins Backend Node JS Mongodb Redis Koa Express Jest Swagger TypeScript Others Docker Line bot Discord bot Experience Compal Electronic, Inc. Design leaderpresent 1.Intelligent Management System 智慧門禁系統，結合AI臉
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Full-time / Quan tâm đến làm việc từ xa
4-6 năm
National Kaohsiung University of Applied Sciences
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Computer science and information engineeringFull-time / Quan tâm đến làm việc từ xa
10-15 năm
國立政治大學
・
資料科學
副理 @永豐金證券2008 ~ 2021
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後端、智能合約、區塊鏈開發、Net 開發、系統分析
Trong vòng một tháng
行與 NFT 發行。 技能 Programming C#、VB.Net ASP.NET Core、Windows Form、 ASP.Net Core MVC、Web API、gRPC、Crystal Report Python SQL、MS SQL Server SSIS、Redis Git、GitLab CI/CD、Docker、Docker Swarm、NetMQ AI Python、Pandas、Numpy Machine Learning、Deep Learning Tensorflow、Keras CNN、RNN、NLP BlockChain Solidity HardHat Truffle 證照 證券商業務員、 期貨商業務員 風險管理人員資格 證券商自有資本適足比率進階計算法
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Full-time / Không quan tâm đến làm việc từ xa
Hơn 15 năm
新埔工專
・
電子科
OPC Chief Engineer @TSMC2020 ~ Hiện tại
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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
Trong vòng một tháng
Chun-Jung Huang [email protected] Chiao-Tung University, Ph.D. - Photonics,2015 ~ 2020 Member of The Phi Tau Phi Scholastic Honor Society of the Republic of China. Work Experience TSMC, OPC Chief Engineer (MarPresent) ◆Introduced image anomaly detection techniques to identify and address defects in photomask manufacturing, significantly improving product quality and reducing turnaround time. ◆Managed large-scale data processing tasks, demonstrating expertise in analyzing and handling datasets of hundreds of millions, to bolster model development and optimization. ◆Excelled in distributed computing, optimizing code execution across thousands of systems to
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Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
National Chiao-Tung University
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Ph.D. - Clinical Engineering
Expertise & Innovation Lead, Cloud @fifty-five2023 ~ Hiện tại
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Cloud Solution Architect
Trong vòng một tháng
SEO for major platforms. - Large-Scale Website Project: Contributed to a high-value SaaS website launch, overseeing deployment and development. - Data Analysis & Systems : Developed GCP-centric data systems, boosting data integration and analysis. - Team Leadership & Innovation: Created a Vertex AI recommendation engine, advancing data team methodologies. EducationNational Chengchi University MS in Computer Science Thesis:Explainable Deep Learning-Based Recommendation Systems: Enhancing the Services of Public Sector Subsidy Online Platform Courses Taken: Big Data Analytics, Data mining, Reinforce Learning, Algorithm and BlockchainNational Cheng Kung University MS in Resource Engineering Thesis: Text-mining and machi...
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Full-time / Quan tâm đến làm việc từ xa
4-6 năm
National Chengchi University
・
Computer Science
AI與機器視覺工程師 @群創光電股份有限公司 InnoLux Corporation2022 ~ Hiện tại
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Software Engineer
Trong vòng một tháng
Breathing Behaviour and Automatic Action Recognition 2015 From IP to Import Program Top資訊科技盃實務競賽 甲等 2015 New Taipei Industrial Value Creation Program for Academia 2015 Taipei International Invention Show & Technomart 2015 Taiwanese Society of Biomedical Engineers Image Processing Familiar with C++/Java development 5+ years experience in OpenCV development 6+ months experience in Image-J plug-in development Deep Learning 2 year experience in Python 2 year experience in Tensorflow 6+ months experience in Tensorflow-Lite Other 3+ years experience in Android development TOEIC :
Đã có việc làm
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Tắt trạng thái tìm việc
Full-time / Không quan tâm đến làm việc từ xa
4-6 năm
國立臺灣科技大學 National Taiwan University of Science and Technology
・
醫學工程
Senior Machine Learning Engineer @C-Media Electronics2020 ~ 2021
・
Machine Learning Scientist, Data Scientist
Trong vòng một tháng
Hao-Chun (Chad) Yang Ph.D Ph.D Graduate @NTHU (EE) | Seeking AI/ML R&D Position | Speech, IOT, Health Informatics, Computational Neuroscience | pytorch, tensorflow Room 315, General Building III, No. 101, Section 2, Kuang-Fu Road,Hsinchu City, Taiwan Skills Programming Programming: Python, Matlab DevOps: AWS, GCP, Git, Docker Deep Learning: Pytorch, Tensorflow, Keras ML& Data Science: Sklearn, Numpy, Pandas, Matplotlib MLOps: MLflow, W&B Special HonorsBest Challenge Poster - Physionet/CINC ChallengeTravel Grants - IEEE SPS SocietyPresident Scholarship - NTHU Education National Tsing Hua University Ph.D. in Electrical Engineering (SepPresent) National Tsing
Trong thời kỳ quân ngũ
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
清華大學
・
電機工程
Hơn một năm
algorithm이나 Overfitting을 피하기 위해서 적용 기법 학습. Education 서울과학기술대학교 문예창작학과 전공, IT 융합 소프트웨어 전공Skills Artificial Intelligence Machine Learning Deep learning with TensorFlow Django Spark JAVA Project 피부 고민을 입력해봐 앱 : TF-IDF, BERT 활용 django 기반 화장품 추천 웹 앱 투자 유지 100억 이상 회사 복지 검색 앱 : 취
Intern / Quan tâm đến làm việc từ xa
Hơn 15 năm
서울과학기술대학교
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Professional Background
Tình trạng hiện tại
Đang học tập
Tiến trình tìm việc
Professions
Software Engineer, Python Developer, Machine Learning Engineer
Fields of Employment
Phần mềm, Trí tuệ nhân tạo/ Máy học, Robotics
Kinh nghiệm làm việc
Dưới 1 năm
Management
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Kỹ năng
Ngôn ngữ
English
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Chuyên nghiệp
German
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Chinese
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Vị trí
Software Engineer
Loại hình công việc
Full-time
Địa điểm
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
Làm việc từ xa
Quan tâm đến làm việc từ xa
Freelance
Không.
Học vấn
Trường học
國立清華大學
Chuyên ngành
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