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On
4-6 years
6-10 years
10-15 years
More than 15 years
Machine Learning Software Engineer @AMD2021 ~ Present
・
Machine Learning Engineer
Within two months
deep learning. Deep Learning Engineer , CVITEK, OctSep 2021 Spin off from Bitmain . Mainly focus on deep learning accelerator (so called NPU or TPU) and stereo vision accelerator. Deep learning accelerator a. Research and prototype the int8, int4 and bf16 quantization algorithm. b. Mix-precision algorithm based on Post training, result had applied patent in US and CN (USA1, CNA). c. Model compression flow (heterogeneous quantization). d. Design quantization flow in deep learning compiler (graph optimization, calibration, fine tuning, mix-precision). e. Implement frontend of deep learning compiler (high
Employed
Full-time / Interested in working remotely
6-10 years
National Chiao Tung University
・
Computer Science
AI Engineer @Revlis Biotech Co. Ltd., Yunlin County, Taiwan2022 ~ 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 two months
Gavin Jang AI Engineer Taichung City, Taiwan Highly skilled in Machine/ Deep Learning, Statistics, Time Series Analysis, and Multivariate Analysis. Have built a WaveGAN model for generating 12 LEADs ECG signals and a U-Net model for reconstructing 12 LEADs ECG signals. Accomplishments De-Noising Auto-Encoder for ECG Signals U-Net for Reconstructing 12 LEADs ECG Signals WaveGAN for Generating 12 LEADs ECG Signals Deep Learning Model for Heart Disease Diagnosis AI-Based Blood Sugar Detection with ECG Signals Data Visualization and Deep Learning Model for Deep-Sea Fishery Work History AI Engineer Revlis Biotech Co
Employed
Full-time / Interested in working remotely
10-15 years
National Sun Yat-sen University
・
Biological Oceanography, Multivariate Analysis, Time Series Analysis 
Teaching Assistant @Georgia Institute of Technology | The University of British Columbia2014 ~ 2019
・
PHD Student
More than one year
Lindsay Yuling Chuang I am a Ph.D. candidate of Geophysics at Georgia Tech. My research mainly focus on using various machine learning and deep learning algorithms to solve different seismological problems. I am a data enthusiastic with 10+ years full stack developing experiences. Atlanta, GA, USA Publication Journal paper Earthquake transformer - an attentive deep-learning model for simultaneous earthquake detection and phase picking publication dat SM Mousavi, WL Ellsworth, W Zhu, LY Chuang, GC Beroza Nature communications, 1-12 Plateau subduction, intraslab seismicity, and the Denali (Alaska) volcanic gap publication date L Chuang
Intern / Interested in working remotely
6-10 years
The University of British Columbia
・
M.S. in Geophysics
機器學習演算法工程師
More than one year
吳杰 我畢業於交通大學電子工程研究所，目前專注於機器學習這塊領域。碩士論文主要是研究：如何在物聯網中，利用機器學習的演算法降低總能量消耗。 自己在服役期間，用Deep learning做了一些side project，例如：輸入照片，自動辨別性別與年齡，語意分析，走迷
Full-time / Interested in working remotely
4-6 years
交通大學
・
電子工程系
Principal Engineer @Coretronic Corporation, 中強光電2020 ~ 2022
・
Machine Learning Engineer
Within one month
Employed
Full-time / Interested in working remotely
6-10 years
國立台灣大學
・
經濟學Research and Development Engineer @Kyoto Robotics2020 ~ Present
・
Engineer
Within one year
Employed
Full-time / Interested in working remotely
6-10 years
IIT Bombay
・
MTech in Electronic SystemsEmployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立臺灣科技大學
・
電機系
Senior Software Engineer @U-NEXT Co., Ltd.2021 ~ Present
・
Software Engineer
Within one month
Tensorflow/Keras/OpenCV Software Engineer • 盛星科技 | Astra Inc. 十二月四月Build innovative computer vision and pedestrian detection backend service - Build and maintain a high availability of deep learning-based computing systems - Develop human detection and facial recognition deep learning models and algorithms [Core technology] - Golang/Python - AWS/DynamoDB/SQS/EC2 - Tensorflow/Keras/OpenCV/openVINO Platform Engineer Intern • Intel 二月六月Survey internal paper and develop the internal script for Xeon SP testing platform - FPGA, OpenCL deep learning and machine learning research - Develop
Employed
Full-time / Interested in working remotely
4-6 years
Nation Taiwan University
・
Bioelectronic and Bioinformatics
Offline
Offline
Algorithm Engineer @Delta Electronics2017 ~ Present
・
Algorithm Engineer
Within one month
莊承翰 The devil is in the detail. Video and Image Algorithm, Deep learning, Software development [email protected] Summary Over 8 years of experience in deep learning and more than 10 years of experience in computer vision/image processing. Capable of independently or collaboratively building AI (image/video) products from scratch with various teams. Analyzing, and improving deep learning systems. Kaggle Top 1% ( 16 /Sartorius - Cell Instance Segmentation (2021/12~2021/12) Top 4% ( 85 /Human Protein Atlas Image Classification (2018/11~2019/1
Employed
Full-time / Not interested in working remotely
4-6 years
National Chin-Yi University of Technology
資料分析師 @天鏡科技
資料分析師
Within one year
categorical data, text data, imbalance data. Languages Mandarin, English Experience Data Analyst - skymirror co.，AprMaydata modelling Make statistical model for daily or long term trading strategy of Taiwan, China, US future market, and oversea financial derivatives. Reviewing and improving the model. Applying financial indicator or machine learning e.g. Xgboost and RNN to predict market. And improve the model. Study new technical about deep learning or mathematical algorithm and try it on trading. Main goal is to improve model accuracy. Data visualization Communicate with manager how to calculate and decide
Full-time / Interested in working remotely
6-10 years
國立台北大學
・
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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
Current status
Employed
Job Search Progress
Professions
Data Scientist
Fields of Employment
Manufacturing
Work experience
6-10 years work experience (4-6 years relevant)
Management
Skills
Languages
English
・
Intermediate
Job search preferences
Positions
Algorithm Engineer
Job types
Full-time
Locations
台灣台北市
Remote
Not interested in working remotely
Freelance
No
Educations
School
National Chin-Yi University of Technology
Major
莊承翰
The devil is in the detail.
Video and Image Algorithm, Deep learning, Software development
Summary
- Over 8 years of experience in deep learning and more than 10 years of experience in computer vision/image processing.
- Capable of independently or collaboratively building AI (image/video) products from scratch with various teams.
- Analyzing, and improving deep learning systems.
Kaggle
- Top 1% ( 16 / 1559 ) Sartorius - Cell Instance Segmentation (2021/12~2021/12)
- Top 4% ( 85 / 2160 ) Human Protein Atlas Image Classification (2018/11~2019/1)
profile
Skills
Software
- C++
- Python
Library / Framework
- OpenCV
- PyTorch
- LibTorch
DL / ML
- Classification / Regression
- One stage / Two stage Object Detection
- Inbalance Data Handle
- Domain Adaptation
- Semi/Self Supervised
- Data Augmentation
- Mislabel Data Detection
- New Class Detection
- Abnormal Detection
Experience
Delta Electronics, Principal Algorithm Engineer, May 2022 ~ Present
[ Primary Job Responsibilities ]
- Development and implementation of DL-related technologies for industrial inspection applications.
- Increase the efficiency of team members across various projects by SOP and tools.
[ Projects ]
- DIP Manufacture Defect Detection (Internal Factory)
- Human replacement rate 50-70% (depending on different product conditions).
- Plastic Fan Defect Detection
[ Concept Verification ]
- Analog Meter Recognition
[ Skill ]
- Deep Learning (Pytorch)
- Transitional CV
- C++ / Python
Delta Electronics, Senior Algorithm Engineer, Jul 2017 ~ May 2022
[ Primary Job Responsibilities ]
- Development and implementation of DL-related technologies for industrial inspection applications.
- Algorithm system development and maintenance.
[ Projects ]
- SMT Manufacture Defect Detection (Internal Factory)
- Human replacement rate 50-70% (depending on different product conditions).
- PCB Ceramic Basic Defect Detection (External Clients)
- Establishment of acceptance standards.
- Human replacement rate 60-80% (depending on different product conditions).
- Adoption of Domain Adaptation-related technologies to reduce data collection and accelerate model deployment time for new products.
- TFT-LCD Defect Detection (Inherited Project) (External Clients)
- Accuracy rate 85-95% (depending on different product lines).
(Improved accuracy rate by 2-8% compared to previous. )
[ Concept Verification ]
- Metal Scratch Detection
- Patent Number: I791970
- Analog Meter Recognition
[ Skill ]
- Deep Learning (Pytorch)
- Transitional CV
- C++ / Python
ADE Technology, Algorithm Engineer, Apr 2016 ~ Jul 2017
[Projects]
- License Plate Recognition System
- Algorithms development
- UI
- Pedestrian Detection
- Algorithms development
- Thermal Image Enhancement
- Transitional CV
- C++ / Python
Genius Vision Digital, Algorithm Engineer, Oct 2014 ~ Feb 2016
[Projects]
- License Plate Algorithms
- People Counting Algorithms
- System Debug and Maintain
- Significantly improve the executive performance of people counting algorithms (Reduce the CPU loading by 50%)
- Transitional CV
- C++
Education
National Chin-Yi University of Technology, 2011 ~ 2013
Master of Computer Science and Information Engineering
National Chin-Yi University of Technology, 2007 ~ 2011
Bachelor of Computer Science and Information Engineering
莊承翰
The devil is in the detail.
Video and Image Algorithm, Deep learning, Software development
Summary
- Over 8 years of experience in deep learning and more than 10 years of experience in computer vision/image processing.
- Capable of independently or collaboratively building AI (image/video) products from scratch with various teams.
- Analyzing, and improving deep learning systems.
Kaggle
- Top 1% ( 16 / 1559 ) Sartorius - Cell Instance Segmentation (2021/12~2021/12)
- Top 4% ( 85 / 2160 ) Human Protein Atlas Image Classification (2018/11~2019/1)
profile
Skills
Software
- C++
- Python
Library / Framework
- OpenCV
- PyTorch
- LibTorch
DL / ML
- Classification / Regression
- One stage / Two stage Object Detection
- Inbalance Data Handle
- Domain Adaptation
- Semi/Self Supervised
- Data Augmentation
- Mislabel Data Detection
- New Class Detection
- Abnormal Detection
Experience
Delta Electronics, Principal Algorithm Engineer, May 2022 ~ Present
[ Primary Job Responsibilities ]
- Development and implementation of DL-related technologies for industrial inspection applications.
- Increase the efficiency of team members across various projects by SOP and tools.
[ Projects ]
- DIP Manufacture Defect Detection (Internal Factory)
- Human replacement rate 50-70% (depending on different product conditions).
- Plastic Fan Defect Detection
[ Concept Verification ]
- Analog Meter Recognition
[ Skill ]
- Deep Learning (Pytorch)
- Transitional CV
- C++ / Python
Delta Electronics, Senior Algorithm Engineer, Jul 2017 ~ May 2022
[ Primary Job Responsibilities ]
- Development and implementation of DL-related technologies for industrial inspection applications.
- Algorithm system development and maintenance.
[ Projects ]
- SMT Manufacture Defect Detection (Internal Factory)
- Human replacement rate 50-70% (depending on different product conditions).
- PCB Ceramic Basic Defect Detection (External Clients)
- Establishment of acceptance standards.
- Human replacement rate 60-80% (depending on different product conditions).
- Adoption of Domain Adaptation-related technologies to reduce data collection and accelerate model deployment time for new products.
- TFT-LCD Defect Detection (Inherited Project) (External Clients)
- Accuracy rate 85-95% (depending on different product lines).
(Improved accuracy rate by 2-8% compared to previous. )
[ Concept Verification ]
- Metal Scratch Detection
- Patent Number: I791970
- Analog Meter Recognition
[ Skill ]
- Deep Learning (Pytorch)
- Transitional CV
- C++ / Python
ADE Technology, Algorithm Engineer, Apr 2016 ~ Jul 2017
[Projects]
- License Plate Recognition System
- Algorithms development
- UI
- Pedestrian Detection
- Algorithms development
- Thermal Image Enhancement
- Transitional CV
- C++ / Python
Genius Vision Digital, Algorithm Engineer, Oct 2014 ~ Feb 2016
[Projects]
- License Plate Algorithms
- People Counting Algorithms
- System Debug and Maintain
- Significantly improve the executive performance of people counting algorithms (Reduce the CPU loading by 50%)
- Transitional CV
- C++
Education
National Chin-Yi University of Technology, 2011 ~ 2013
Master of Computer Science and Information Engineering
National Chin-Yi University of Technology, 2007 ~ 2011
Bachelor of Computer Science and Information Engineering