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On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Avatar of Chun-Jung Huang.
Avatar of Chun-Jung Huang.
OPC Chief Engineer @TSMC
2020 ~ 现在
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
一個月內
Chun-Jung Huang [email protected] Chiao-Tung University, Ph.D. - Photonics,2015 ~ 2020 Member of The Phi Tau Phi Scholastic Honor Society of the Republic of China. Work Experience TSMC, OPC Chief Engineer (MarPresent) ◆Introduced image anomaly detection techniques to identify and address defects in photomask manufacturing, significantly improving product quality and reducing turnaround time. ◆Managed large-scale data processing tasks, demonstrating expertise in analyzing and handling datasets of hundreds of millions, to bolster model development and optimization. ◆Excelled in distributed computing, optimizing code execution across thousands of systems to
Deep learning with TensorFlow
Translational Research
Clinical Research
就职中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
National Chiao-Tung University
Ph.D. - Clinical Engineering
Avatar of 李慕全(MuChuan Li).
Avatar of 李慕全(MuChuan Li).
曾任
Service Provider @Taron Solutions Limited
2023 ~ 2023
AI工程師、機器學習工程師、電腦視覺工程師、資料科學家、Machine Learning Engineer、Computer Vision Engineer、Data Scientist
一個月內
醫院 二月七月 2020 • 開發x光片器官辨識系統,透過分類模型判斷所拍攝的器官是否符合醫生要求,系統正確率高達96%。 技術:TensorFlow、Google Inception v3 運算思維與程式設計 課程助教 • 東海大學 Tunghai University 九月七月 2020 • 協助修課同學培養程式設計邏輯,並實作C/C++
Machine Learning
Computer Vision
Pytorch/Tensorflow
待业中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立臺北科技大學
資訊工程
Avatar of the user.
Avatar of the user.
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
2021 ~ 现在
Software Engineer
一個月內
Python
AI & Machine Learning
Image Processing
就职中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立台灣大學
生物產業機電工程所
Avatar of the user.
Avatar of the user.
智慧製造全端開發工程師 @聯華電子股份有限公司
2022 ~ 现在
AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Ai Application Engineer,Machine Learning Engineer,Deep Learning Engineer,Data Scientist
一個月內
Python
Qt
Git
就职中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
元智大學 Yuan Ze University
工業工程與管理學系所
Avatar of 宋浩茹 Ellie Sung.
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
一個月內
宋浩茹 Hao-Ru Sung| [email protected] | LinkedIn | GitHub A s a Research Assistant at Academia Sinica , specializing in Generative AI research and application. With 3 + years of experience in NLP a nd Machine Learning , along with 4+ years in Backend Development . Proficient at translating complex theories into practical applications. Skills Languages: Python, R, SQL, MATLAB, C, C#, JavaScript, Node.js Software & Tools: PyTorch, PyTorch Lightning, Tensorflow, Scikit-Learn, NLTK , GCP, Linux, SQL / NoSQ , Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow
Python
R
Natural Language Processing (NLP)
就职中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立政治大學(National Chengchi University)
資訊科學系
Avatar of 蕭舜誠-Shawn.
Avatar of 蕭舜誠-Shawn.
Firmware Engineer @Lanner Electronics Inc.
2021 ~ 现在
Firmware Engineer, Firmware Developer, Embedded Software Engineer
一個月內
蕭舜誠-Shawn New Taipei City, [email protected] Hi, I’m Shawn. experienced firmware engineer with nearly five years of experties. and a Bachelor’s degree in Electronic Engineering from the NKFUST. Proficient in firmware development using C, with hands-on experience in Embedded Linux System, MCU and Linux System, such as the OOB solution(on NUC980), Platform software Package, and FreeRTOS(on STM32) . comprehended to Python, TensorFlow, and machine learning concepts during university studies. Furthermore, I have proven track record of independently tackling challenging technical projects and embracing new technologies
C
ARM
Linux
就职中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立高雄科技大學(原國立高雄第一科技大學)
電子工程
Avatar of Nelson Chen.
Avatar of Nelson Chen.
Senior engineer @Chicony Electronics Co, Ltd.
2018 ~ 现在
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
一個月內
Nelson Chen Senior engineer Dedicated Software Engineer with 6+ Years of Experience Senior software engineer specializing in web page development and deep learning. Proficient with machine learning technologies, such as TensorFlow, Numpy, etc. Experience Senior engineer • Chicony Electronics Co, Ltd. .Build an Auto-Encoder AI model for defective detection. .Build an object detection model for detecting car types. .Developed a Front-End and Back-End website for data analysis. .Manage the production process and make it automated production. NovPresent Software engineer • Teco image systems co. ltd .Developed and maintained MFP driver
Python
C
C++
就职中
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
National Taiwan Ocean University
Computer science and engineering
Avatar of Zikri Alghifahri.
Avatar of Zikri Alghifahri.
曾任
Software Developer @PERBASI
2023 ~ 现在
Senior Backend Engineer
一個月內
Zikri Alghifahri - Date of Birth 15th JanuaryStarting Carrier as Programmer in 2013 Indonesia Work Experience MarchPresent Software Developer PERBASI Working within Basketball Athletes to gather Data & statistics. Now sports and technology cannot be separated from each other. Therefore, I designed a system that can record all athlete activities and display them into a data set that can be read and studied in the future. Machine learning is the tool I use to achieve this. Currently, Tensorflow is one of the frameworks that I use to support my needs. NovemberPresent Software Developer Dinas Perpustakaan & Arsip Pesawaran
Python Programming
JavaScript
IoT & Embedded System
待业中
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
Universitas Teknokrat Indonesia
Computer Science
Avatar of 賴泳瑄.
Avatar of 賴泳瑄.
老闆 @歐趴飲料店
2012 ~ 2018
AIOT開發工程師
一個月內
測試使用體感芯片每1個月充電一次即可。 https://reurl.cc/090dEA https://reurl.cc/v0OprL 使用技術: bluetooth andorid/ios SDK、Unity、aws cloud、php laravel、python 、keras、tensorflow、SQLite、mySQL ILOLLY幼稚園管理系統 概要: 使用beacon技術綁定幼稚園孩童,並使用樹莓派蒐集資訊, 可以在非接觸環境下紀錄孩童出勤
機器學習、大數據分析、邊緣運算、資料探勘
Application Development
Data Science
就职中
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
Tunghai University
資訊
Avatar of the user.
Avatar of the user.
技術部門經理 @沛鑫包裝科技
2018 ~ 现在
R & D technologist/program manager
一個月內
Computer Vision
c#
Automation
就职中
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
國立中興大學
機械

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职场能力评价定义

专业技能
该领域中具备哪些专业能力(例如熟悉 SEO 操作,且会使用相关工具)。
问题解决能力
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时间管理能力
了解工作项目的优先顺序,有效运用时间,准时完成工作内容。
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具有向心力与团队责任感,愿意倾听他人意见并主动沟通协调。
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专注于团队发展,有效引领团队采取行动,达成共同目标。
一個月內
高級工程師 @ Advantech 研華科技
Logo of Advantech 研華科技.
Advantech 研華科技
2022 ~ 现在
Taipei City, Taiwan
专业背景
目前状态
就职中
求职阶段
专业
数据工程师
产业
软件
工作年资
4 到 6 年工作经验(2 到 4 年相关工作经验)
管理经历
技能
AI & Machine Learning
OpenCV
C
Fortran
Matlab
Bot Framework
JavaScript
Git
Linux
python
Tensorflow
Keras
爬蟲
Dlib
Django
MySQL
Word
C++
Python
语言能力
English
中阶
求职偏好
希望获得的职位
機器學習 深度學習 人工智慧 演算法工程師
预期工作模式
全职
期望的工作地点
远端工作意愿
对远端工作有兴趣
接案服务
学历
学校
國立成功大學
主修科系
機械工程研究所
列印
Profile 03 00@2x 0f8539d7f013fd11030f4f7a7b97caf8c2dc5732bc61cba71764f3365c568794

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.   

Profile 04 00@2x eb0e2fdb6b9448002be791a92293d0e3ae2d393bce3bb23c2ba1a0e8661253ed

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
Profile 04 00@2x eb0e2fdb6b9448002be791a92293d0e3ae2d393bce3bb23c2ba1a0e8661253ed

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

Paragraph image 00 00@2x

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

Paragraph image 02 00@2x

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

Paragraph image 02 00@2x

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

Paragraph image 02 00@2x Paragraph image 02 00@2x Paragraph image 02 00@2x

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. 


Paragraph image 00 00@2x Paragraph image 00 00@2x Paragraph image 00 00@2x Paragraph image 00 00@2x

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.

简历
个人档案
Profile 03 00@2x 0f8539d7f013fd11030f4f7a7b97caf8c2dc5732bc61cba71764f3365c568794

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.   

Profile 04 00@2x eb0e2fdb6b9448002be791a92293d0e3ae2d393bce3bb23c2ba1a0e8661253ed

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
Profile 04 00@2x eb0e2fdb6b9448002be791a92293d0e3ae2d393bce3bb23c2ba1a0e8661253ed

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

Paragraph image 00 00@2x

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

Paragraph image 02 00@2x

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

Paragraph image 02 00@2x

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

Paragraph image 02 00@2x Paragraph image 02 00@2x Paragraph image 02 00@2x

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. 


Paragraph image 00 00@2x Paragraph image 00 00@2x Paragraph image 00 00@2x Paragraph image 00 00@2x

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.