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4 à 6 ans
6 à 10 ans
10 à 15 ans
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軟體工程師 @Wistron NeWeb Corporation 啟碁科技股份有限公司2023 ~ 2023
・
軟體工程師
Dans 2 mois
Étudiant
・
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
4 à 6 ans
國立中正大學(National Chung Cheng University)
・
Computer Science and Information Engineering
Computer Vision Engineer @Academia Sinica2015 ~ Présent
・
Computer Vision Engineer
Dans 1 mois
陳昱希 Computer Vision Engineer Yu-Hsi Chen has rich experience in developing computer vision and machine learning algorithms. In his recent work at Academia Sinica, he has focused on using machine learning to solve traditional computer vision and image / video processing problems. His developed NeighborTrack is a state-of-the-art single object tracking system in the field. During his school days, he used verilog on FPGA to implement the 3A system of the camera. website: Yu-hsi Chen (franktpmvu.github.io) Taipei City, Taiwan Yu-hsi Chen (franktpmvu.github
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
LUNGHWA university
・
Master of ScienceBlockchain Enginner & AI Lead @Portal Network
Blockchain engineer & Blockchain consulting
Dans 1 mois
Temps plein / Intéressé par le travail à distance
4 à 6 ans
Principal Engineer @Coretronic Corporation, 中強光電2020 ~ 2022
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Machine Learning Engineer
Dans 1 mois
Senior Software Developer, Wuduker Inc., JanuaryOctober 2020 iSchedule, a preference aware scheduling system. Responsible for designing RESTful API, database schema and core scheduling solver Anomaly detection system with Deep Metric Learning Develop deep learning model with PyTroch and PyTorch-Lightning Consulting service. Including Spark pipeline optimization, deep learning model development and general Python/C++ development Machine Learning Engineer, Pinkoi Inc., DecemberDecember 2019 Recommendation System, including item-based/store-based recommendation, keyword suggestion, making significant improvement on recommendation quality and coverage. Machine Learning Algorithm Design Data Pipeline, including on-site advertising and
Employé
Temps plein / Intéressé par le travail à distance
6 à 10 ans
國立台灣大學
・
經濟學
Research Assistant of National Taiwan University @National Taiwan University2023 ~ Présent
・
Graduate research assistant
Dans 6 mois
YEN-TING CHEN (陳彥廷) I am a graduate student in the Department of Psychology at National Taiwan University ( NTU). For me, diving into psychometrics and exploring data with reasonable statistical method is to clarify a new world of understanding people around us. Whether it's a quirky little issue or a big, serious one, I've got curiosity and grabbed my attention to figure out problems using the tools or theories of psychometrics and data analysis . Right now, I am turning curiosity into discoveries in the wild world of Psychology and All kinds of Data
Étudiant
Temps partiel / Intéressé par le travail à distance
4 à 6 ans
National Taiwan University
・
Psychometrics (Division of Psychology), Methodology (Division of Psychology)
AI, Machine Learning and Data Manager @IRT Saint Exupery2021 ~ Présent
・
Data Analyst、Data Scientist、AI Engineer、Project Manager
Dans 1 mois
Benjamin Deporte [email protected] AI, Machine Learning and Data Officer Innovative AI/ML seasoned leader with strong mathematical background and hands-on knowledge of machine learning algorithms and best practices. Specialized in Cybersecurity, Healthcare and Aerospace. Demonstrated driving business value through 10+ years of experience within different businesses, in direct management or thought leadership roles. Leadership, networking, communication and language skills. Skills Expertise in Artificial Intelligence and Machine Learning Specialization in Cybersecurity, Healthcare and Aerospace. Leadership abilities, networking and communication skills Business acumen in multicultural, global organizations Work
Employé
Temps plein / Intéressé par le travail à distance
6 à 10 ans
Télécom Paris
・
Cybersecurity
Past
Senior Software Engineer @DOINT2021 ~ 2023
・
Software engineer, Image Processing engineer, Algorithm engineer
Dans 3 mois
Docker Doxygen Swig (API for python from C++) OpenCV OpenCL Linux Skill multi-threads distributed computing serialization/deserialization CICD data version control (DVC) MLOps Image Processing PCA Interactive Segmentation Connected Component Image Stitching Direct Linear Transformation Kalman Filter (Tracking) SIFT Hough HoG Image Deblurring Depth Estimation ISP Machine Learning Framework Transformation Data Augmentation Transfer Learning Model Pruning Model Quantization Performance Evaluation Parameter Fine-tuning Model : SVM, LeNet, AlexNet, VGG, GoogLeNet, SSD, YOLO, MobileNet, ShuffleNet, FaceNet, Xception, MatrixNet, CenterNet, CSPNet, M2Det, EfficientNet/Det Projects HPC Keyword Spotting Automatic Speech Recognition Distributed Inference System Social Distancing Estimation (Lidar
Sans Emploi
Temps plein / Intéressé par le travail à distance
6 à 10 ans
National Taiwan University
・
Communication Engineering
機器學習工程師 @日新軟體股份有限公司2021 ~ Présent
・
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
Dans 6 mois
focus mainly on object detection, sensor fusion and sensor calibration. 3+ years of experience in machine learning. Used to conduct research in medical AI projects and possess experience in implement real-world end-to-end ML project . Skills Programming Languages Python C++ SQL Machine Learning TensorFlow Pytorch Scikit-learn Matplotlib Others FastAPI Docker Redis Linux Certification Taiwan AI Academy - AI Technical Professionals Program NVIDIA DLI Certificate – Applications of AI for Anomaly Detection Work Experience Machine Learning Engineer NEUTEC • MayPresent Develop, optimize and maintain the machine learning algorithm for internal process automation. Deploy machine
Employé
Temps plein / Intéressé par le travail à distance
4 à 6 ans
國立臺北科技大學
・
機電整合所AI & Embedded Systems Consultant @Self Employed2021 ~ Présent
・
Deep Learning Engineer
Plus d'1 an
Kishan Gondaliya Experienced embedded software engineer working on Embedded Systems and Deep Learning to enable vision and voice-based machine learning algorithms on low-power FPGA and edge embedded devices. ~8 years of experience consists in writing, debugging, and optimizing software/firmware for embedded [email protected] Ahmedabad, Gujarat, India Skillset Languages: Frameworks: Dev Tools: HW Platform: Cloud (GCP): Cloud (AWS): Other: C, Python, C++ Tensorflow (TFlite, TFmicro), Keras, Caffe, Darknet Anaconda, Git, Gerrit, Perforce, Pycharm, CVS, Jira, Confluence Google Coral TPU, Lattice ECP5, U+, Crosslin-NX FPGA, Raspberry Pi, Intel Movidius, NVIDIA
Employé
Temps plein / Intéressé par le travail à distance
4 à 6 ans
Charotar University of Science & Technology
・
Electronics & CommunicationData Scientist | Associate Researcher @China Engineering Consultants, Inc.2020 ~ Présent
・
資料分析師
Plus d'1 an
Employé
Temps plein / Intéressé par le travail à distance
6 à 10 ans
國立東華大學(National Dong Hwa 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.
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Leadership
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Professional Background
Statut Actuel
Sans Emploi
Progrès de la Recherche d'Emploi
Professions
Back-end Engineer, Software Engineer, Python Developer
Fields of Employment
Logiciel
Expérience Professionnelle
6 à 10 ans expérience professionnelle (1 à 2 ans relevant)
Management
None
Compétences
Langues
English
・
Intermédiaire
Job search preferences
Position Désirée
Software Engineer / Backend Engineer
Type d'emploi
Temps plein
Lieu Désiré
台灣台北
Travail à distance
Intéressé par le travail à distance
Freelance
Non.
Éducation
École
National Taiwan University
Spécialisation
農藝系
崔雅青
[email protected] | 0989-536-922
工作經歷
GIGABYTE Technology, Software Engineer April. 2021 - Aug. 2022
- Supervised and maintained a facial recognition system using openCV and Flask API for nearly 1,000 people using everyday [Product Link]
- Developed a fence surveillance system at edge end with Socket and Flask that could be used to integrate with backend services [Product Link]
- Made enhancement to the body temperature measurement system by using Flir mapping technique to minimize the effect of ambient temperature and reducing the temperature identification time from 3 seconds to 1 second [Product Link]
- Built restful API for face-recognition to support app team to achieve face recognition punch card attendance machine using Flask API for nearly 1,000 people punch in
- Developed a facial recognition system using pyqt5 for rest API connection
- Trained the YOLO model with customized data, achieved 80% on mAP and improved 150% fps rate in the object detection
- Deployed the ML models in service, served 500 daily active users
Coding & Co-working Club, Backend Engineer Sep. 2020 - present
- Developed a web application using Django restful framework and deployed it on Amazon EC2 through Docker
- Wrote a login required middleware class for user authentication
- Designed Restful API including database Schema, URL pattern, request method and return data in each apps like course, project and questionnaire with frontend, and UI/UX designer
- Wrote model and API functional testing with pytest and automated it with CI Pipelines
Projects
Music Genre Classification [Slides]
- Built music genre classifiers using various machine learning algorithms, including gradient boosting machine, random forest, decision tree, logistic regression, and K-nearest neighbors and achieved ~80% accuracy
- Applied PCA for feature reduction and standardized feature set using scikit-learn
- Used package: python, scikit-learn
Hiking Assistant [Line Chatbot]
- Built a Line ChatBot for hikers to search trail information and pictures
- Scraped hiking webpages using Requests and Beautiful Soup
- Designed a messaging API using Line developers
- Built Flask Web App and Used Heroku for deployment with MySQL database
- Used package: python, Heroku, Flask, Beautiful Soup, MySQL
學歷
2011 - 2015
National Taiwan University
B.S. in Agronomy, GPA 3.84
• Presidential Award (awarded to top 5% students)
• Known-You Social Welfare Foundation Award
• Agronomy Graduating Class of 1966 Award
TOOLS & SKILLS
- Programming Language: Python
- Cloud Application Platform: Heroku, AWS
- Frameworks: Django Rest Framework, Flask
- Utilities: Git, Docker
- Database: MongoDB, PostgresSQL, MySQL
- API: Restful API, Socket API (TCP/IP)
- Web scraper: Selenium, Beautiful Soup
崔雅青
[email protected] | 0989-536-922
工作經歷
GIGABYTE Technology, Software Engineer April. 2021 - Aug. 2022
- Supervised and maintained a facial recognition system using openCV and Flask API for nearly 1,000 people using everyday [Product Link]
- Developed a fence surveillance system at edge end with Socket and Flask that could be used to integrate with backend services [Product Link]
- Made enhancement to the body temperature measurement system by using Flir mapping technique to minimize the effect of ambient temperature and reducing the temperature identification time from 3 seconds to 1 second [Product Link]
- Built restful API for face-recognition to support app team to achieve face recognition punch card attendance machine using Flask API for nearly 1,000 people punch in
- Developed a facial recognition system using pyqt5 for rest API connection
- Trained the YOLO model with customized data, achieved 80% on mAP and improved 150% fps rate in the object detection
- Deployed the ML models in service, served 500 daily active users
Coding & Co-working Club, Backend Engineer Sep. 2020 - present
- Developed a web application using Django restful framework and deployed it on Amazon EC2 through Docker
- Wrote a login required middleware class for user authentication
- Designed Restful API including database Schema, URL pattern, request method and return data in each apps like course, project and questionnaire with frontend, and UI/UX designer
- Wrote model and API functional testing with pytest and automated it with CI Pipelines
Projects
Music Genre Classification [Slides]
- Built music genre classifiers using various machine learning algorithms, including gradient boosting machine, random forest, decision tree, logistic regression, and K-nearest neighbors and achieved ~80% accuracy
- Applied PCA for feature reduction and standardized feature set using scikit-learn
- Used package: python, scikit-learn
Hiking Assistant [Line Chatbot]
- Built a Line ChatBot for hikers to search trail information and pictures
- Scraped hiking webpages using Requests and Beautiful Soup
- Designed a messaging API using Line developers
- Built Flask Web App and Used Heroku for deployment with MySQL database
- Used package: python, Heroku, Flask, Beautiful Soup, MySQL
學歷
2011 - 2015
National Taiwan University
B.S. in Agronomy, GPA 3.84
• Presidential Award (awarded to top 5% students)
• Known-You Social Welfare Foundation Award
• Agronomy Graduating Class of 1966 Award
TOOLS & SKILLS
- Programming Language: Python
- Cloud Application Platform: Heroku, AWS
- Frameworks: Django Rest Framework, Flask
- Utilities: Git, Docker
- Database: MongoDB, PostgresSQL, MySQL
- API: Restful API, Socket API (TCP/IP)
- Web scraper: Selenium, Beautiful Soup