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4-6 years
6-10 years
10-15 years
More than 15 years
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ Present
・
Software Engineer
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
生物產業機電工程所Senior engineer @Chicony Electronics Co, Ltd.2018 ~ Present
・
全端工程師、後端工程師、前端工程師、軟體專案主管、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
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan Ocean University
・
Computer science and engineering
Data science lecturer @Ittraining2020 ~ Present
・
Data Scientist 資料科學家_數據分析師
Within one month
Detection: Detect Player Contacts from Sensor and Video Data, 2023/03/03 AIGC (生成式AI): - Bronze medal (solo): (Kaggle) Stable Diffusion - Image to Prompts: Deduce the prompts that generated our "highly detailed, sharp focus, illustration, 3d renders of majestic, epic" images, 2023/05/16 Object detection (目標檢測): - 4th place (solo): (Aidea AI CUP) 肺腺癌病理切片影像之腫瘤氣道擴散偵測競賽 I：運用物體偵測作法於找尋STAS, 2022/06/02
Employed
・
Open to opportunities
Part-time / Interested in working remotely
More than 15 years
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)Team Lead @工業技術研究院2020 ~ Present
・
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
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Chung Cheng University
・
資訊工程學所
Engineering Manager @Viscovery 創意引晴股份有限公司2018 ~ Present
・
Within one month
Research Experience Research Assistant, Seppresent Communication and Multimedia Lab (CMLab), NTU Proposed a Convolutional Neural Network (CNN) accurately performing fine-grained classification for surveillance car. The model recovered lost details from low resolution image with hints in crawled web images. Leveraged frame similarity to speed up CNN-based object detection and semantic segmentation models, e.g. FPN, PSPNet, YOLO, Faster-RCNN, and SegNet. Proposed a multimodal CNN achieving high fine-grained classification accuracy. The model was trained with both web images and its tags, and could predict solely with image in future testing phase
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
Electrical Engineering
Technical Manager @Ambarella Inc.2014 ~ Present
・
Within one month
a Technical Manager and Contact window with US, Europe (German, Italian) tier-1 clients and to support customers' requirements project management, mentoring and assigning tasks to engineers, leading firmware engineers to deliver projects on time Staff Engineer ADAS/Vision/Radar (1) Surround reconstruction algorithm designD/3D/Object Detection, Object Mask neural network post processing algorithm design. (3) Integrate Radar/vision fusion, multi-sensor fusion (4) ADAS demo cars built for customers, including debugging, testing and data analysis (5) Feature matching algorithm design (6) Radar and camera calibration algorithm design (7) Algorithm optimization (OpenGL/
Employed
Full-time
10-15 years
元智大學 Yuan Ze University
・
computer science
大數據資料工程師、演算法工程師
Within two months
發新的深度學習演算法，能夠在非常少的資源下運行模型來做自動控制；在學術研究上，我能夠發明新的方法來改進Transformer-based object detection最頂尖的模型，讓模型在COCO資料集上提升0.3mAP的效能。以下為我的優勢能力: 資料科學的研究開發能力: 研發演算法
Full-time / Interested in working remotely
4-6 years
國立中央大學 National Central University
・
人工智慧
Past
Senior Software Engineer @DOINT2021 ~ 2023
・
Software engineer, Image Processing engineer, Algorithm engineer
Within three months
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) Object Tracking Object Detection Automatic License Plate Recognition Optical Character Recognition (OCR) Multi-Camera Object Tracking (Image Stitching) Voice Keywords Detection Face Recognition Blur Detection People Counting Over the Wall Detection Automated Optical Inspection(AOI) Interactive Segmentation(for ROI) Web crawler Work Experience Senior Engineer(VicoreLogic) DecNow 1. Enhance
Unemployed
Full-time / Interested in working remotely
6-10 years
National Taiwan 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.
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
Current status
Studying
Job Search Progress
Professions
Data Scientist
Fields of Employment
Software
Work experience
Less than 1 year work experience (2-4 years relevant)
Management
I've had experience in managing 1-5 people
Skills
Languages
English
・
Intermediate
Job search preferences
Positions
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
Job types
Full-time
Locations
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
Remote
Interested in working remotely
Freelance
No
Educations
School
國立交通大學
Major
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