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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
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
Chun-Jung Huang mortis.huang@gmail.comNational 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
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chiao-Tung University
・
Ph.D. - Clinical Engineering
Senior Software Development Engineer @奔騰網路2023 ~ Present
・
資深後端工程師
Within one month
model to make the company’s private AI (Vector DB), or connecting to the API of public generative AI through prompt, or It uses golang and k8s api to create extensions, yaml or Terraform for automated deployment. 4. Use tensorflow's forests decision prediction to obtain some information, machine learning frameworks such as tensorflow and pytorch, and also use huggingface's lib to connect multiple models (self-study of basic AI or machine learning and other related knowledge), and also study google self attention model, etc. 5. Experience in using multiple clouds, and using Terrafrom to
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
臺灣國立空中大學
・
資訊管理學系
前端工程師 @Chimes AI, Inc.2022 ~ Present
・
前端工程師
Within one month
存巨量資料並優化檔案搜尋速度，民眾可以查詢到即時資料。並將人工操作流程數位化，打造一站式管理資訊系統，再搭配 AI 機器學習，準確率達80%，減輕人工涉入程度。 (團隊開發專案，框架使用 Vue 2, 前台 符合無障礙空間； 搭配 Vuetify 開發後台； 前台專案
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
Chung Hua University (CHU) 中華大學
・
資管
Past
Product Manager @Kono 美商知識能股份有限公司2022 ~ 2022
・
Project Manager、PM、專案經理、UX、網站企劃、產品企劃
Within two months
王俊元(Jeffrey Wang) 產品經理健身房 | 音樂科技網 | Music Tech Alliance | wangefcn@gmail.com 超過 5 年軟體產品開發經驗，主要為網站、App 和桌機端的 B2C 服務，有 0~1 產品開發和 AI 演算法的實務經驗，待過音樂串流、AI 演算法開發和 Wi-Fi 智慧照護公司。 工作經歷 產品經理 2023年11
Unemployed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
東吳大學
・
國際貿易
程式設計師 @中國附醫2020 ~ 2021
・
軟體工程師
Within two months
習領域 發展 軟體工程師 e-mail: max761005@gmail.com kaggle:https://www.kaggle.com/suweigithub:https://github.com/suwei761005/DemoProject 個人網站:https://watsonimg.com 技能 AI/ML Python Scikit-learn Pandas Numpy Keras DNN、CNN(deep learning) web Html CSS Javascript Bootstrap JQuery Angularjs MSSQL ASP.NET MVC C# 版控 git svn 學歷 雲林科技大學, 學士學位, 電機工程, 2006/09
Studying
・
Not open to opportunities
Full-time / Not interested in working remotely
6-10 years
雲林科技大學
・
電機工程
網站設計師 @安迪連網站設計工作室2018 ~ Present
・
Web Designer
Within two months
設計 - 以網路合作問題導向學習為例 Developing a computer-mediated communication competence forecasting model based on learning behavior features 利用碩士兩年的時間，透過自學以及實驗室MIS Meeting研究 AI 人工智慧機器學習理論與實作方法，並以Google Analytics為基礎發展遠距學習監控模組，建立 AI 機器學習模型發展即時能力預測
Employed
・
Not open to opportunities
Full-time / Remote Only
6-10 years
國立政治大學（National Chengchi University）
・
圖書資訊與檔案學研究所 碩士
AI, Machine Learning and Data Manager @IRT Saint Exupery2021 ~ Present
・
Data Analyst、Data Scientist、AI Engineer、Project Manager
Within one month
Benjamin Deporte deporte.benjamin@gmail.comLinkedIn AI, Machine Learning and Data Officer Innovative AI/ML seasoned leader with strong mathematical background and hands-on knowledge of machine learning algorithms and best practices. Specialized in Cybersecurity, Healthcare and Aerospace. Demonstrated driving business value through 10+ years of experience within different businesses, in direct management or thought leadership roles. Leadership, networking, communication and language skills. Skills Expertise in Artificial Intelligence and Machine Learning Specialization in Cybersecurity, Healthcare and Aerospace. Leadership abilities, networking and communication skills Business acumen in multicultural, global organizations Work
Employed
Full-time / Interested in working remotely
6-10 years
Télécom Paris
・
CybersecurityEmployed
・
Not open to opportunities
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).
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Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
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Current status
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.