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資深PHP工程師 @核碼資訊有限公司2023 ~ 2023
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PHP網頁程式設計
Dans 1 mois
Docker Jenkins 前端 Vue.js Html CSS JQuery Javascript 工作經歷 資深PHP工程師 現職公司 (名稱暫不公開) 二月PresentTaipei, Taiwan ● PHP ● MySQL ● git ● Redis ● Docker ● Jenkins ● phpunit ● hyperf 為公司維護成人影音 App 之後端 api 主要工作有 1. 依照產品需求在後台擴充管理功能 2. 撰寫 hyperf command，處理線上巨量資
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10 à 15 ans
義守大學
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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
Statut Actuel
Employé
Progrès de la Recherche d'Emploi
Professions
Research / R&D
Fields of Employment
Logiciel
Expérience Professionnelle
4 à 6 ans
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Position Désirée
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
Type d'emploi
Temps plein
Lieu Désiré
台灣新北, 台灣台北, 台灣新竹縣, 台灣新竹市
Travail à distance
Intéressé par le travail à distance
Freelance
Non.
Éducation
École
國立臺北科技大學
Spécialisation
機電整合所
Eddy Chen
Machine Learning Engineer
New Taipei City, Taiwan
Skills
Programming Languages
- Python
- C++
- SQL
Machine Learning
- TensorFlow
- Pytorch
- Scikit-learn
- Matplotlib
Others
- FastAPI
- Docker
- Redis
- Linux
Work Experience
Machine Learning Engineer
NEUTEC • May 2021 - Present
- Develop, optimize and maintain the machine learning algorithm for internal process automation.
- Deploy machine learning models as web services or on edge devices.
Project Engineer
ACER • Nov 2017 - Apr 2021
【Deep Learning】
- Cardiac Ejection Fraction Estimation
- Video classification model training for estimating ejection fraction scores.
- Semantic segmentation model training for identifying ventricular contractions and providing visualization.
- Fall Detection
- Implemented real-time fall detection for multiple persons by using LSTM neural network combined with features obtained via human pose estimation.
- Experiments design and collect training data.
- Implemented real-time fall detection for multiple persons by using LSTM neural network combined with features obtained via human pose estimation.
【Self-Driving Car】
- Perception
- Developed sensor fusion algorithms that combine data from multiple sensors (LiDAR, radar, camera, etc.) to generate a more accurate and reliable understanding of the environment.
- Software Integration
- System integration and real car tests at Taiwan CAR Lab and Taipei University.
Education
National Taipei University of Technology
Institute of Mechatronic Engineering • 2015 - 2017
【Research Field】
- Computer vision and image processing
- Advanced Driver Assistance Systems (ADAS)
【Journal and Conference】
- SCI paper is accepted
Around View Monitoring-Based Vacant Parking Space Detection and Analysis
- Oral presentations at conference
A visual method for the detection of available parking slots
Eddy Chen
Machine Learning Engineer
New Taipei City, Taiwan
Skills
Programming Languages
- Python
- C++
- SQL
Machine Learning
- TensorFlow
- Pytorch
- Scikit-learn
- Matplotlib
Others
- FastAPI
- Docker
- Redis
- Linux
Work Experience
Machine Learning Engineer
NEUTEC • May 2021 - Present
- Develop, optimize and maintain the machine learning algorithm for internal process automation.
- Deploy machine learning models as web services or on edge devices.
Project Engineer
ACER • Nov 2017 - Apr 2021
【Deep Learning】
- Cardiac Ejection Fraction Estimation
- Video classification model training for estimating ejection fraction scores.
- Semantic segmentation model training for identifying ventricular contractions and providing visualization.
- Fall Detection
- Implemented real-time fall detection for multiple persons by using LSTM neural network combined with features obtained via human pose estimation.
- Experiments design and collect training data.
- Implemented real-time fall detection for multiple persons by using LSTM neural network combined with features obtained via human pose estimation.
【Self-Driving Car】
- Perception
- Developed sensor fusion algorithms that combine data from multiple sensors (LiDAR, radar, camera, etc.) to generate a more accurate and reliable understanding of the environment.
- Software Integration
- System integration and real car tests at Taiwan CAR Lab and Taipei University.
Education
National Taipei University of Technology
Institute of Mechatronic Engineering • 2015 - 2017
【Research Field】
- Computer vision and image processing
- Advanced Driver Assistance Systems (ADAS)
【Journal and Conference】
- SCI paper is accepted
Around View Monitoring-Based Vacant Parking Space Detection and Analysis
- Oral presentations at conference
A visual method for the detection of available parking slots