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上級
On
4〜6年
6〜10年
10〜15年
15年以上
就学中
・
就職希望
フルタイム / リモートワークに興味あり
4〜6年
國立中正大學(National Chung Cheng University)
・
Computer Science and Information Engineering
Computer Vision Engineer @Academia Sinica2015 ~ 現在
・
Computer Vision Engineer
1ヶ月以内
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
就職希望
フルタイム / リモートワークに興味あり
6〜10年
LUNGHWA university
・
Master of ScienceBlockchain Enginner & AI Lead @Portal Network
Blockchain engineer & Blockchain consulting
1ヶ月以内
フルタイム / リモートワークに興味あり
4〜6年
Principal Engineer @Coretronic Corporation, 中強光電2020 ~ 2022
・
Machine Learning Engineer
1ヶ月以内
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
就職中
フルタイム / リモートワークに興味あり
6〜10年
國立台灣大學
・
經濟學
Research Assistant of National Taiwan University @National Taiwan University2023 ~ 現在
・
Graduate research assistant
6ヶ月以内
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
就学中
パートタイム / リモートワークに興味あり
4〜6年
National Taiwan University
・
Psychometrics (Division of Psychology), Methodology (Division of Psychology)
AI, Machine Learning and Data Manager @IRT Saint Exupery2021 ~ 現在
・
Data Analyst、Data Scientist、AI Engineer、Project Manager
1ヶ月以内
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
就職中
フルタイム / リモートワークに興味あり
6〜10年
Télécom Paris
・
Cybersecurity
Past
Senior Software Engineer @DOINT2021 ~ 2023
・
Software engineer, Image Processing engineer, Algorithm engineer
3ヶ月以内
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
無職
フルタイム / リモートワークに興味あり
6〜10年
National Taiwan University
・
Communication Engineering
機器學習工程師 @日新軟體股份有限公司2021 ~ 現在
・
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
6ヶ月以内
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
就職中
フルタイム / リモートワークに興味あり
4〜6年
國立臺北科技大學
・
機電整合所AI & Embedded Systems Consultant @Self Employed2021 ~ 現在
・
Deep Learning Engineer
1年以上
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
就職中
フルタイム / リモートワークに興味あり
4〜6年
Charotar University of Science & Technology
・
Electronics & CommunicationData Scientist | Associate Researcher @China Engineering Consultants, Inc.2020 ~ 現在
・
資料分析師
1年以上
就職中
フルタイム / リモートワークに興味あり
6〜10年
國立東華大學(National Dong Hwa University)
・
應用數學研究所最も簡単で効果的な採用プラン
80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
- 検索結果をすべて閲覧
- 新しい会話を無制限に始められます
- 有料企業にのみ履歴書を公開
- ユーザーのメールアドレスと電話番号を確認
検索のコツ
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
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
現在の状況
就学中
求人検索の進捗
Professions
Data Scientist
Fields of Employment
ソフトウェア
職務経験
1年未満の職務経験（2〜4年関連）
Management
I've had experience in managing 1-5 people
スキル
言語
English
・
中級者
Job search preferences
希望のポジション
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
求人タイプ
フルタイム
希望の勤務地
台灣新北台北, 台灣新竹市北新竹, 台灣台北板橋區新北, 台灣新竹市北
リモートワーク
リモートワークに興味あり
Freelance
いいえ。
学歴
学校
國立交通大學
専攻
工業工程與管理學系
楊佳儒 Roger Yong
I have experience in Statistical Tests, Data Analysis, Machine Learning, Deep Learning and Image Recognition. I am also with programming skills in Python, SQL, R, HTML. Besides that, I am a self-motivated person who is eager to gain more experience on programming and a good teamworker.
1996, New Taipei，TW 0939-121-671
[email protected]
Experience
IE Engineer / Vanguard International Semiconductor Corporation
2021 / 8 - 2021 / 10, 2022 / 2 - Present
Job Description:
- Tool Productivity Management Report System
- CAPEX New Tool Performance Tracing
- Abnormal Tool Performance Auto-Alarm Email
- IE Dept Database Development and Management
Python | Power BI | Oracle SQL | Microsoft SQL | Django | UiPath
AI Algorithm Intern / Gallant Precision Machining Co Ltd
2021 / 3 - 2021 / 6
Job Description:
Improve the algorithm by localizing and classifying defects on wafers.
By using machine learning and deep learning methods to improve the algorithm by localizing and classifying defects on wafers. The purpose is to rescue the overkilled wafer (which was supposed to be normal but was detected as a defective product by AOI machine).
Methodology:
- Resnet
- Densenet
- Defect Detection Using Denoising Convolutional Autoencoder
- Unsupervised Anomaly Detection Using Deep Autoencoding Gaussian Mixture model
Python | PyTorch | Machine Learning | Deep Learning | OpenCV
Automation Developer Intern / Vanguard International Semiconductor Corporation
2020 / 7 - 2020 / 8
Job Description:
- Face Recognition
- Lot ID Recognition
- Automation Report System Development
Python | PyTorch | OpenCV | UiPath | Power BI | Deep learning | Image Recognition |
Object Detection
Research Assistant / National Chiao Tung University Big Data Research Center
2018 / 7 - 2020 / 12
Job Description:
- Analyze the selection orientation and effectiveness of various courses in the college through statistics method or machine learning.
- Analyze world university rankings
- Analyze paper influence of Kaohsiung Medical University
- Course recommendation system
Data analysis | Database managemen | Statistical Tests | Machine Learning | Web crawler
Research Assistant / National Chiao Tung University
2019 / 9 - 2021 / 7
Research topics:
- Performance Analysis of F-policy GI/M/1/K Queuing System with Heterogeneous Service Rates
- Performance comparison of typical machine learning algorithms for abnormal prediction of process capability indicators under unbalanced data
Operation Research | Machine Learning | Deep Learning | Python | PyTorch
Industry-Academia Cooperation / CAR GO ENTERPRISE LTD.
2019 / 11 - 2020 / 6
Job Description:
- Warehouse management of customized motor vehicle parts vacuum forming process
- Quality monitoring system development
Database development | Data warehouse | Python | Django | PostgreSQL
EDUCATION
Master of Industrial Engineering and Management
National Chiao Tung University
2019 / 9 - 2021 / 7
Bachelor of Industrial Engineering and Management
National Chiao Tung University
2015 / 9 - 2019 / 6
Skill
Programming
Python, R, SQL, Power BI
Skill
Data Analysis, Operation Research, Machine Learning, Statistic, Deep Learning, Database management
Research Program
Assessing Create, Interdisciplinary and Hand-on Learning Outcomes in Innovative Creative Technology Co-working Space
2019/ 7 - 2020/ 6
Analyze the selection orientation and effectiveness of various courses in the college through statistics method or machine learning... etc.
Optimal Inventory Replenishment Policy for a Multi-server Queueing System with Balking, Reneging and Feedback
2020/9 - 2020/ 7
Performance Analysis of GI/M/1/K Queuing System with F-policy and Heterogeneous Service Rates and Optimization
Performance Comparison Of Typical Machine Learning Algorithms For Abnormal Prediction Of Process Capability Indicators Under Unbalanced Data
2020/ 9 - 2021/ 7
Establish interpretable and repayable predictive models through the typical machine learning algorithms, and use process capability indicators as the response variables for consistent quality abnormalities, abnormal production yields, and abnormal process capabilities to compare the performance of different algorithms in limited samples.
OTHERS
The 16th Annual Meeting of the Operations Research Society of Taiwan (ORSTW 2020)
Date : 2020/11/16
subject : The Application of Statistics and Quantity Method
Thesis Topic: Performance Analysis of GI/M/1/K Queuing System with F-policy and Heterogeneous Service Rates
Journal Article-Journal of Industrial and Management Optimization (JIMO)
楊佳儒 Roger Yong
I have experience in Statistical Tests, Data Analysis, Machine Learning, Deep Learning and Image Recognition. I am also with programming skills in Python, SQL, R, HTML. Besides that, I am a self-motivated person who is eager to gain more experience on programming and a good teamworker.
1996, New Taipei，TW 0939-121-671
[email protected]
Experience
IE Engineer / Vanguard International Semiconductor Corporation
2021 / 8 - 2021 / 10, 2022 / 2 - Present
Job Description:
- Tool Productivity Management Report System
- CAPEX New Tool Performance Tracing
- Abnormal Tool Performance Auto-Alarm Email
- IE Dept Database Development and Management
Python | Power BI | Oracle SQL | Microsoft SQL | Django | UiPath
AI Algorithm Intern / Gallant Precision Machining Co Ltd
2021 / 3 - 2021 / 6
Job Description:
Improve the algorithm by localizing and classifying defects on wafers.
By using machine learning and deep learning methods to improve the algorithm by localizing and classifying defects on wafers. The purpose is to rescue the overkilled wafer (which was supposed to be normal but was detected as a defective product by AOI machine).
Methodology:
- Resnet
- Densenet
- Defect Detection Using Denoising Convolutional Autoencoder
- Unsupervised Anomaly Detection Using Deep Autoencoding Gaussian Mixture model
Python | PyTorch | Machine Learning | Deep Learning | OpenCV
Automation Developer Intern / Vanguard International Semiconductor Corporation
2020 / 7 - 2020 / 8
Job Description:
- Face Recognition
- Lot ID Recognition
- Automation Report System Development
Python | PyTorch | OpenCV | UiPath | Power BI | Deep learning | Image Recognition |
Object Detection
Research Assistant / National Chiao Tung University Big Data Research Center
2018 / 7 - 2020 / 12
Job Description:
- Analyze the selection orientation and effectiveness of various courses in the college through statistics method or machine learning.
- Analyze world university rankings
- Analyze paper influence of Kaohsiung Medical University
- Course recommendation system
Data analysis | Database managemen | Statistical Tests | Machine Learning | Web crawler
Research Assistant / National Chiao Tung University
2019 / 9 - 2021 / 7
Research topics:
- Performance Analysis of F-policy GI/M/1/K Queuing System with Heterogeneous Service Rates
- Performance comparison of typical machine learning algorithms for abnormal prediction of process capability indicators under unbalanced data
Operation Research | Machine Learning | Deep Learning | Python | PyTorch
Industry-Academia Cooperation / CAR GO ENTERPRISE LTD.
2019 / 11 - 2020 / 6
Job Description:
- Warehouse management of customized motor vehicle parts vacuum forming process
- Quality monitoring system development
Database development | Data warehouse | Python | Django | PostgreSQL
EDUCATION
Master of Industrial Engineering and Management
National Chiao Tung University
2019 / 9 - 2021 / 7
Bachelor of Industrial Engineering and Management
National Chiao Tung University
2015 / 9 - 2019 / 6
Skill
Programming
Python, R, SQL, Power BI
Skill
Data Analysis, Operation Research, Machine Learning, Statistic, Deep Learning, Database management
Research Program
Assessing Create, Interdisciplinary and Hand-on Learning Outcomes in Innovative Creative Technology Co-working Space
2019/ 7 - 2020/ 6
Analyze the selection orientation and effectiveness of various courses in the college through statistics method or machine learning... etc.
Optimal Inventory Replenishment Policy for a Multi-server Queueing System with Balking, Reneging and Feedback
2020/9 - 2020/ 7
Performance Analysis of GI/M/1/K Queuing System with F-policy and Heterogeneous Service Rates and Optimization
Performance Comparison Of Typical Machine Learning Algorithms For Abnormal Prediction Of Process Capability Indicators Under Unbalanced Data
2020/ 9 - 2021/ 7
Establish interpretable and repayable predictive models through the typical machine learning algorithms, and use process capability indicators as the response variables for consistent quality abnormalities, abnormal production yields, and abnormal process capabilities to compare the performance of different algorithms in limited samples.
OTHERS
The 16th Annual Meeting of the Operations Research Society of Taiwan (ORSTW 2020)
Date : 2020/11/16
subject : The Application of Statistics and Quantity Method
Thesis Topic: Performance Analysis of GI/M/1/K Queuing System with F-policy and Heterogeneous Service Rates