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4-6 years
6-10 years
10-15 years
More than 15 years
國立成功大學
Past
資深工程師 @Velodash Inc.2019 ~ 2023
・
Android / Flutter / Backend
Within one month
Denny Cheng ( 鄭翔元 ) I am a software engineer with diverse skills. From 2016 to 2018, I was responsible for Android and backend development (Python Flask). From 2019 to 2023, my main focus was on Flutter and React. In addition, I also use C# for side project development. My skill set spans across the development of applications for various platforms, and I maintain a curious and learning-oriented attitude towards new technologies. Taipei, Taiwan [email protected] EducationNational Cheng Kung University ( 國立成功大學 ) Computer Science and Information
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學
・
資訊工程學系
Android 軟體工程師 @Lafresh益欣資訊2019 ~ Present
・
Android App Developer
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學
・
工程科學所(在讀)Past
Senior Backend Engineer @iKala 愛卡拉互動媒體股份有限公司2023 ~ 2024
・
Data engineer / Backend engineer / Software engineer
Within one month
Unemployed
・
Open to opportunities
Full-time / Not interested in working remotely
6-10 years
國立成功大學
・
資訊工程
Senior Front-End Developer @Shoalter Technology Limited2022 ~ Present
・
Freelancer
Within one month
improve pagespeed score from 20 toUse React.js to develop and optimize SAAS product. 3. Use Redux to manage states and get API with axios. 4. Refactor Class Components to Functional Components and upgrade to React 18 to get better performance. 5. Use GitLab for version control and commit with principle to improve the maintainability and development efficiency. 6. Use crontab to compress and convert image to webp automatically. Freelancer • Freelancer 十一月八月Build website with WordPress and customize layout and function with better user experience.
Full-time / Interested in working remotely
10-15 years
國立成功大學
・
Chemical Engineering
Frontend Engineer @Shopline 商線科技有限公司2021 ~ Present
・
前端工程師
Within two months
Lauren Chen 陳思瑾 喜歡在這之中一步一步突破自己以及和團隊合作的感覺。 Taipei City, Taiwan https://scpsgithub.io/profile/ 技能 Frontend React React Native TypeScript Next.js Angular liquid View HTML Sass / CSS API / Unit Test GraphQL Jest Burp Postman Project GitHub Bitbucket Trello Jira 學歷 國立成功大學 資訊工程學系工作經歷 Frontend Engineer • Shopline 商線科技有限公司
Full-time / Remote Only
4-6 years
國立成功大學
・
資訊工程學系
Past
音樂製作人 @自由接案2020 ~ 2022
・
Front-End Engineer 網頁前端工程師
Within one year
學系 （肄業）國立台中第二高級中學 日間部 網頁開發技能 Web Developer Skills 企劃＆設計 Microsoft Office Miro Figma Photoshop Adobe Illustrator 程式 Javascript ES6 ~ ESHtml 5 CSS 3 / SCSS NodeJS Postman MongoDB GitHub 框架 Bootstrap ReactJS ExpressJS Mongoose 作品 Portfolio HTML + CSS (以下連結皆可點擊) 仿切微軟首頁 RWD 響應式網頁 Parallax視覺效果 Loading 動畫 Javascript （以下為連結皆可點
Unemployed
Full-time / Interested in working remotely
4-6 years
國立成功大學
・
航空暨太空工程學系 （肄業）Frontend Team Lead @Aurora Tech2020 ~ Present
・
senior frontend engineer
Within one year
Full-time / Interested in working remotely
4-6 years
國立成功大學
・
土木工程
資料工程師 @鴻海（富士康）2021 ~ Present
・
資料工程師
More than one year
單位，除接手維護原舊有系統ETL模組，也加入資料平台的 API 及開發與測試。 專長：資料科學、統計模型、機器學習、Python/R、Impala、Kudu 、 PostgreSQL、Git、RESTful API 、 Docker、Nifi。 Kaohsiung City, Taiwan 工作經歷 資料工程師 • 鴻海（富士康） 五月Present 資料平台開發： - 搭建於 Apache Nifi 之上，透過 FastAPI 框架, Uvicorn, Gunicorn 開發RESTful API 及
Employed
Full-time / Interested in working remotely
4-6 years
國立成功大學
・
統計研究所
相機系統軟體工程師 @SonicSky (OnePlus / OPPO)2020 ~ Present
・
Senior Software Engineer
More than one year
Connection to Web API ■ Jsoup(web crawler) ■ XML Parser ■ Android API SQLite DataBase by CRUD ■ GPS ■ AIDL Inter process communication ■ ContentProvider ■ Fragment ■ RxJava ■ Retrofit ■ OkHttp ■ Volley 3. Programming language ■ Java ■ C/C++ ■ Shell Script 4. Version Control ■ git ■ gitk 5. IDE ■ Android studio ■ eclipse ■ Intellij IDEA Laser 1. Probe laser hardware 2. Porting laser driver to Qualcomm code base in kernel 3. Create laser interface for Qualcomm 3A f...
Employed
・
Not open to opportunities
Full-time / Not interested in working remotely
4-6 years
國立成功大學
・
電腦與通訊工程
Senior Software Engineer @South China Morning Post2021 ~ Present
・
前端工程師
More than one year
JavaScript, HTML, CSS, Sass, Less, TypeScript, Node.js, Dart • Front-end: React.js, Next.js, Gatsby.js, Apollo Client, styled components, styled system, Ant Design, Material UI, Chakra UI, Ramda.js, Flutter • Back-End: MongoDB, Express.js, Apollo Server • Technologies: Webpack, Parcel, Esbuild, Nginx, Git, Redis, GCP, AWS, Notion, CodeSandbox, VSCode I am interested in learning cutting edge technologies from online resources. If you are looking for a software engineer who has passion to learn, grow, and try hard to improve user experience. I would be an ideal candidate. Feel free
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
國立成功大學
・
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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.