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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
level with a size error margin of less than 3 cm. Computer Vision Body Reconstruction Stable Diffusion DApp: Exercise Classification Implemented real-time activity recognition for specified exercises, including but not limited to push-ups and squats, enabling accurate tracking and analysis of workout routines. Skeleton Detection Motion Classification Body AI: 3D Body Data Analysis Engage in a variety of AI side projects focused on leveraging 3D body data, encompassing tasks such as Body ID Recognition, Body Measurements Prediction, and Body Shape Classification. Mesh Data Processing Body Modulization: SMPL Project Engineer • Acer Inc. JanMay 2021 Working
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
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
4-6 years
國立政治大學（National Chengchi University）
・
資訊科學系Data Engineer @TSMC 台積電2022 ~ Present
・
資料分析師、演算法工程師、軟體工程師、軟體專案管理
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立中央大學 National Central University
・
網路學習科技研究所
OPC Chief Engineer @TSMC2020 ~ 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
in distributed computing, optimizing code execution across thousands of systems to significantly improve processing speed and efficiency. ◆Developed sophisticated data visualization tools to distill complex datasets into actionable insights, aiding strategic decision-making. The University of Tokyo, Foreign Researcher (OctSep◆Pioneered a neural network-based approach for cell image classification and data visualization, enhancing lab capabilities in biological research. ◆Designed a user-friendly GUI for neural network model training, democratizing access to advanced computational tools for non-programmers. Education National Chiao-Tung University, Ph.D. - Photonics, 2015 ~ 2020 Development of Intelligent Wearable Near Infrared Spectroscopy
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chiao-Tung University
・
Ph.D. - Clinical Engineering
Past
Electrical Section Head @Sayyed Engineers Limited2014 ~ 2016
・
Electrical and Electronics Engineer
Within three months
based Project using SIMATIC SSignal conditioning of data received from the Aircraft Engine MFI-17 Super Mushshak Part Task Trainer (Simulator) Team lead of the Hardware installation and interfacing with soft instruments Using National Instruments NI-Daq 6343 Hardware designing of Trim Panel using Arduino Uno Foreign Object Debris Detection, Classification, and Localization using Deep Learning Python language based Project using YOLO-V7 (you only look once) Addressed the Class imbalance in FOD-A Dataset FOD detection/localization with improved accuracy Data Acquisition design and implementation of a Level-D Simulator (C130-H) NI-PXI Chassis-based DATA ACQUISITION
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
University of Central Punjab
・
Electrical and Power Transmission Installation/Installer, General設備專案工程師 @日月光半導體製造股份有限公司 ADVANCED SEMICONDUCTOR ENGINEERING, INC.2020 ~ Present
・
工程師
Within three months
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立高雄科技大學 National Kaohsiung University of Science and Technology
・
電腦與通訊工程系
Research & Development Engineer @三竹資訊股份有限公司2023 ~ 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
and deployed it to the environment. Major Product and Project Experience AI training platform backend development with Label Studio/DVC/MLflow Developed training templates. AI-SaaS Implemented NLU tasks using BERT-based models to provide functions such as named entity recognition, entity relation extraction, and article classification . Implemented NLG tasks using T5 to provide article summarization functionality. NetProbe - DPI Use 1D-CNN and MLP models for encrypted network traffic identification . Use the Autoencoder model for unknown packet detection . Taiwan Ministry of the Interior Investigation Bureau Police Station - AI Crime Investigation Trace Analysis
Employed
・
Open to opportunities
Full-time / Not interested in working remotely
4-6 years
國立中央大學 National Central University
・
資訊工程
Data science lecturer @Ittraining2020 ~ Present
・
Data Scientist 資料科學家_數據分析師
Within one month
氣道擴散偵測競賽 I：運用物體偵測作法於找尋STAS, 2022/06/02 - Bronze medal (team): (Kaggle) VinBigData Chest X-ray Abnormalities Detection: Automatically localize and classify thoracic abnormalities from chest radiographs, 2021/03/30 Classification (影像分類): - Bronze medal (solo): (Kaggle) Human Protein Atlas - Single Cell Classification: Find individual human cell differences in microscope images, 2021/05/12 - 5th place (team): (Aidea AI CUP) Mango grade classification, 2020/12/29. https://reurl.cc/
Employed
・
Open to opportunities
Part-time / Interested in working remotely
More than 15 years
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)
Product Manager @Linker Vision2023 ~ Present
・
PM/產品經理/專案管理
Within one month
detection, segmentation, and classification AI scenario. Good communication skills with doctors' demands and collaboration with colleagues. Patent Disclosure: Ultrasound detect and notify system. (serial number: I學歷 SepJun 2 National Taiwan University of Science and Technology Masters in Electrical Engineering Thesis "Online Data Stream Analytics for Dynamic Environments Using Self-Regularized Learning Framework", IEEE journal SepJun 2020 Yuan Ze University Bachelor in Electrical Engineering Skills Customer/VC negotiation and customer services DL/ML/AI algorithm, keen problem solving 3D modeling (Blender) Python, Matlab, Tensorflow, Keras Object detection, Classification, [email protected]
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣科技大學 National Taiwan University of Science and Technology
・
電機工程
Senior Software Engineer @International Integrated Systems, Inc.(IISI)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
modules：Resblock, GhostBottleNeck, SE-layer, DarkBlock. Used Attention mechanism：StripPooling, MixedPoolingModule, SelectiveKernel . According to the input data, use convolutional layers of different dimensions (1D~3D) to learn information. Used weight standardization to assign weights to improve model training effect. Built a composite model of regression and classification. AI development environment management Used docker or Anaconda to establish and maintain the development environment with GPU. Set up the environment to use the LLM (LLAMA2, Taiwan-LLaMa, Codellama, Llama2-chinese-13b, etc.) Model Training and Tuning Tips Adjusted the data batch size according to the
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
私立中原大學 Chung Yuan Christian University
・
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Adaptability
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Employed
Job Search Progress
Professions
Data Engineer
Fields of Employment
Software
Work experience
4-6 years work experience (2-4 years relevant)
Management
Skills
Languages
English
・
Intermediate
Job search preferences
Positions
機器學習 深度學習 人工智慧 演算法工程師
Job types
Full-time
Locations
Remote
Interested in working remotely
Freelance
Educations
School
國立成功大學
Major
機械工程研究所
Wu, Chung-Yi
I major in Mechanical Engineering, but I have a strong passion for programming. I possess skills in Machine Learning, Deep Learning, and Artificial Intelligence.
Email: [email protected]
Phone: 0970-798-667
https://github.com/Chung-Yi
Education
National Cheng Kung University
Master of Mechanical Engineering in thermos-fluid science
Sep 2014 – July 2016
- Relevant Coursework: Conduction Heat Transfer, CFD, Viscous Fluid Mechanics, Engineering Analysis, Advanced Thermodynamics, Fortran
- Papers: IEEE International Conference on Applied System Innovation, Applied Thermal Engineering
- I utilized programming and inverse methods, along with test data, to forecast the heat transfer coefficient on the plate fins within a rectangular enclosure with two openings. The study findings indicated that more accurate results could be achieved if the resulting heat transfer coefficient and fin temperature obtained at the selected measurement locations closely matched the inverse results and the experimental temperature data, respectively.
National Cheng Kung University
Bachelors of Hydraulic and Ocean Engineering
Sep 2010 – June 2014
- Relevant Coursework: Water Resources Engineering, Fluid Mechanics, Wave Mechanics, Coastal and Ocean Engineering
Work Experience
ITRI, Data Analyst, Oct 2023 - now
- Leading the analysis of battery data aging using algorithms to extract insights and identify influential factors. The objective is to predict battery aging in advance and establish early warning mechanisms. Additionally, implementing on-screen visualization of predictive results ensures a user-friendly experience, grounded in empirical evidence.
- Engage in collaborative efforts with various departments, academic institutions, and suppliers to develop robust data platforms.
Advantech, Software Engineer, Apr 2022 - Sep 2023
- Proficient in comprehensive system integration, including hardware, software, and customer-centric design services.
- Skilled in front-end development with TypeScript and React and in back-end development to establish API with Go.
- Integrating Grafana dashboard to visualize data.
- Cross-departmental discussions on machine learning with team members.
Astra, Software Engineer, Nov 2018 - Jun 2020
- Image recognition:
I implemented face classification, including feature extraction and model training.
- License Plate Recognition: Development of license plate recognition system, involving object detection, object tracking, algorithmic character string segmentation, and other techniques.
- Flood Prediction: Utilizing deep learning techniques to identify flooded areas and estimate flood depths.
- backend API: Collaborated with backend engineers on product development, designing APIs and integrating with the frontend.
Skills
Programming
Python, Go, C, MATLAB, Fortran
Machine Learning
OpenCV, TensorFlow, NumPy, Keras
Others
Git, Linux, Raspberry Pi, Bot Framework,
Dialog
Projects
Restaurant Booking System
I was responsible for member-login. Using Python, Django, and JavaScript to finish the web server system. Members not only can book, but can make some comments to this restaurants for improving.
Chat Bot-Road Condition Search System
Using Microsoft Bot Framework along with API to get the road-information in Taiwan.
I was responsible for member-login. Using Python, Django, and JavaScript to finish the web server system. Members not only can book, but can make some comments to this restaurants for improving.
Chat Bot-Road Condition Search System
Using Microsoft Bot Framework along with API to get the road-information in Taiwan.
Machine Learning - Self Driving (Object Detection)
- Using web camera along with OpenCV to recognize the traffic lights signal.
- Using GPIO to control brightness of traffic lights.
- Using socket skill to connect server to calculate and return commands to Raspberry Pi car.
- Implementing yolov3 to detect objects.
- Demo: https://www.youtube.com/watch?v=6ZgfNQQ_ruQ
Punch Time Clock System
- Calculating working hours and wage automatically replaces traditional punch clock
- Using ML skills include CNN(training model), OpenCV(processing images), Go language
Face Classification (Head Pose Estimation)
- Detecting profile face and side face. Calculating face roll, yow and pitch angle to know which one is profile face. We need to filter the side face in the punch clock system.
- Using Python, Keras, OpenCV, TensorFlow
Age and Gender Detection
- Detecting age and gender of an image. The scenario such as in the convenience store, they can know the age and gender distribution of their customers.
- Using Python, Keras, OpenCV, TensorFlow
License Plate Recognition
- Detecting and classify multiple vehicle types (truck, bus, bicycle, car) automatically from rtsp.
- Detecting license plate from car image with wpod-net method
- Using Optical Character Recognition(OCR) to recognize the extracted characters of an license plate or CRNN to recognize the characters.
- Using yolov5, OpenCV, TensorFlow
Vehicle Counting
- Detect and classify multiple vehicle types (truck, bus, bicycle, car) automatically.
- Track multiple detected objects and count them in real-time as they pass a specific area
- Using yolov5, OpenCV, TensorFlow
Crawler
- Due to the majority of face images being foreign faces, using these images for face classification may result in errors. I implemented a solution to collect Asian faces from Facebook Groups and Fan Pages. Additionally, in scenarios such as exhibitions, we utilize a web camera and a face model to extract face information including age and gender from images captured at the exhibition.
- Using Go, Facebook API, AWS service, Docker
Certifications
- Udemy:
- Go: The Complete Developer's Guide (Golang) https://www.udemy.com/certificate/UC-PE7AQY3C/
- Deep Learning and Computer Vision A-Z™ https://www.udemy.com/certificate/UC-HL1CVVQ8/
- Coursera:
- Machine Learning(Stanford) https://coursera.org/share/947e0508f708324258954fb12900bf9c
Study Group
I am also a member of the study group. There are four members, we always study knowledge about machine learning and deep learning. We study paper and join online competition. We also write some technical article to share with others in Medium (https://medium.com/chung-yi/ml%E5%85%A5%E9%96%80-%E4%B8%80-14bac59730b6) or Hackmd(https://hackmd.io/?nav=overview).
In 2021/10/27~2022/01/06, We joined T-Brain competition, our ranking in the competition is 183 out of 859.
In 2022/04~2022/10, We joined AIGO competition, our ranking in the competition is 2nd.
In 2023/04~2023/10, We joined AI 應用鬥智賽 competition, our ranking in the competition is 4th.
Personal
Language
Chinese(native), English(fluent)
Interests
Programming, Basketball, Sing, Listen to music, Travel, Share experiences with others
Summary
With all the qualities and the training, I think I have been equipped with all the skills necessary to tackle any difficulties as a Data Science Engineer. I firmly believe that the experiences will help me to work as a competent engineer in the future. I am ready to welcome the new stage in my life. Your company has a healthy corporate culture, and there is no doubt that it can bring out the best in me. Hence, I wish I could be accepted by you, and I will do my best to meet your expectation.
Wu, Chung-Yi
I major in Mechanical Engineering, but I have a strong passion for programming. I possess skills in Machine Learning, Deep Learning, and Artificial Intelligence.
Email: [email protected]
Phone: 0970-798-667
https://github.com/Chung-Yi
Education
National Cheng Kung University
Master of Mechanical Engineering in thermos-fluid science
Sep 2014 – July 2016
- Relevant Coursework: Conduction Heat Transfer, CFD, Viscous Fluid Mechanics, Engineering Analysis, Advanced Thermodynamics, Fortran
- Papers: IEEE International Conference on Applied System Innovation, Applied Thermal Engineering
- I utilized programming and inverse methods, along with test data, to forecast the heat transfer coefficient on the plate fins within a rectangular enclosure with two openings. The study findings indicated that more accurate results could be achieved if the resulting heat transfer coefficient and fin temperature obtained at the selected measurement locations closely matched the inverse results and the experimental temperature data, respectively.
National Cheng Kung University
Bachelors of Hydraulic and Ocean Engineering
Sep 2010 – June 2014
- Relevant Coursework: Water Resources Engineering, Fluid Mechanics, Wave Mechanics, Coastal and Ocean Engineering
Work Experience
ITRI, Data Analyst, Oct 2023 - now
- Leading the analysis of battery data aging using algorithms to extract insights and identify influential factors. The objective is to predict battery aging in advance and establish early warning mechanisms. Additionally, implementing on-screen visualization of predictive results ensures a user-friendly experience, grounded in empirical evidence.
- Engage in collaborative efforts with various departments, academic institutions, and suppliers to develop robust data platforms.
Advantech, Software Engineer, Apr 2022 - Sep 2023
- Proficient in comprehensive system integration, including hardware, software, and customer-centric design services.
- Skilled in front-end development with TypeScript and React and in back-end development to establish API with Go.
- Integrating Grafana dashboard to visualize data.
- Cross-departmental discussions on machine learning with team members.
Astra, Software Engineer, Nov 2018 - Jun 2020
- Image recognition:
I implemented face classification, including feature extraction and model training.
- License Plate Recognition: Development of license plate recognition system, involving object detection, object tracking, algorithmic character string segmentation, and other techniques.
- Flood Prediction: Utilizing deep learning techniques to identify flooded areas and estimate flood depths.
- backend API: Collaborated with backend engineers on product development, designing APIs and integrating with the frontend.
Skills
Programming
Python, Go, C, MATLAB, Fortran
Machine Learning
OpenCV, TensorFlow, NumPy, Keras
Others
Git, Linux, Raspberry Pi, Bot Framework,
Dialog
Projects
Restaurant Booking System
I was responsible for member-login. Using Python, Django, and JavaScript to finish the web server system. Members not only can book, but can make some comments to this restaurants for improving.
Chat Bot-Road Condition Search System
Using Microsoft Bot Framework along with API to get the road-information in Taiwan.
I was responsible for member-login. Using Python, Django, and JavaScript to finish the web server system. Members not only can book, but can make some comments to this restaurants for improving.
Chat Bot-Road Condition Search System
Using Microsoft Bot Framework along with API to get the road-information in Taiwan.
Machine Learning - Self Driving (Object Detection)
- Using web camera along with OpenCV to recognize the traffic lights signal.
- Using GPIO to control brightness of traffic lights.
- Using socket skill to connect server to calculate and return commands to Raspberry Pi car.
- Implementing yolov3 to detect objects.
- Demo: https://www.youtube.com/watch?v=6ZgfNQQ_ruQ
Punch Time Clock System
- Calculating working hours and wage automatically replaces traditional punch clock
- Using ML skills include CNN(training model), OpenCV(processing images), Go language
Face Classification (Head Pose Estimation)
- Detecting profile face and side face. Calculating face roll, yow and pitch angle to know which one is profile face. We need to filter the side face in the punch clock system.
- Using Python, Keras, OpenCV, TensorFlow
Age and Gender Detection
- Detecting age and gender of an image. The scenario such as in the convenience store, they can know the age and gender distribution of their customers.
- Using Python, Keras, OpenCV, TensorFlow
License Plate Recognition
- Detecting and classify multiple vehicle types (truck, bus, bicycle, car) automatically from rtsp.
- Detecting license plate from car image with wpod-net method
- Using Optical Character Recognition(OCR) to recognize the extracted characters of an license plate or CRNN to recognize the characters.
- Using yolov5, OpenCV, TensorFlow
Vehicle Counting
- Detect and classify multiple vehicle types (truck, bus, bicycle, car) automatically.
- Track multiple detected objects and count them in real-time as they pass a specific area
- Using yolov5, OpenCV, TensorFlow
Crawler
- Due to the majority of face images being foreign faces, using these images for face classification may result in errors. I implemented a solution to collect Asian faces from Facebook Groups and Fan Pages. Additionally, in scenarios such as exhibitions, we utilize a web camera and a face model to extract face information including age and gender from images captured at the exhibition.
- Using Go, Facebook API, AWS service, Docker
Certifications
- Udemy:
- Go: The Complete Developer's Guide (Golang) https://www.udemy.com/certificate/UC-PE7AQY3C/
- Deep Learning and Computer Vision A-Z™ https://www.udemy.com/certificate/UC-HL1CVVQ8/
- Coursera:
- Machine Learning(Stanford) https://coursera.org/share/947e0508f708324258954fb12900bf9c
Study Group
I am also a member of the study group. There are four members, we always study knowledge about machine learning and deep learning. We study paper and join online competition. We also write some technical article to share with others in Medium (https://medium.com/chung-yi/ml%E5%85%A5%E9%96%80-%E4%B8%80-14bac59730b6) or Hackmd(https://hackmd.io/?nav=overview).
In 2021/10/27~2022/01/06, We joined T-Brain competition, our ranking in the competition is 183 out of 859.
In 2022/04~2022/10, We joined AIGO competition, our ranking in the competition is 2nd.
In 2023/04~2023/10, We joined AI 應用鬥智賽 competition, our ranking in the competition is 4th.
Personal
Language
Chinese(native), English(fluent)
Interests
Programming, Basketball, Sing, Listen to music, Travel, Share experiences with others
Summary
With all the qualities and the training, I think I have been equipped with all the skills necessary to tackle any difficulties as a Data Science Engineer. I firmly believe that the experiences will help me to work as a competent engineer in the future. I am ready to welcome the new stage in my life. Your company has a healthy corporate culture, and there is no doubt that it can bring out the best in me. Hence, I wish I could be accepted by you, and I will do my best to meet your expectation.