內湖區, 台北市, 台灣資料科學專案 Data Science Projects 個人實作專案 AugNow BTC 月趨勢預測 MLOps 系統建置：資料準備：運用 AWS 定時自動化抓取 API 資料，並設計資料流程定期導入 MySQL 資料庫特徵處理：應用 Time Shift 技術，Pearson 相關、XGBoost 進行變數篩選；結合 Evidently 即時監控特徵資料飄移

python

sql

tableau

Taiwan

Full-time / Interested in working remotely

4-6 years

輔仁大學 Fu Jen Catholic University

・

統計學

湯子緯

Past

工程師 @TSMC 台積電

・

2020 ~ 2024

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

湯子緯 Aston Tang I'm ever a semiconductor equipment engineer with 4 years of hands-on experience at TSMC, specializing in lithography track systems (LIT). I have led and supported critical projects involving equipment maintenance, process optimization, and troubleshooting in high-volume manufacturing environments. Currently, I'm transitioning into the AI and data analytics field, with a strong focus on predictive maintenance, anomaly detection, and smart factory applications. My goal is to bridge domain expertise in semiconductor manufacturing with AI-driven solutions to enhance equipment reliability and operational efficiency. I’m actively seeking opportunities

Taiwan

Full-time / Interested in working remotely

4-6 years

NYCU, 國立陽明交通大學

・

精密與自動化工程

Jian Xiang Wang

專案佐理研究員 @財團法人國家實驗研究院國家地震工程研究中心

・

2013 ~ 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

的重要性，也體認到科技發展對於人類社會的影響力。為了提升自己的AI相關技術能力，自2024年六月中旬開始學習Python程式資料分析、視覺辨識與機器學習等相關課程，並考取TQC+ 程式語言 python 3 與TQC+ 人工智慧：機器學習(Python 3)等相關證照。【職涯規

MATLAB

Microsoft Office

AutoCAD

Taiwan

Full-time / Interested in working remotely

10-15 years

國立台北科技大學研究所

・

土木與防災

蔡易澂

資深工程師 @瑞竣科技股份有限公司

・

2021 ~ 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

蔡易澂資深工程師您好，我是一個能獨立開發網站的軟體工程師，從資料庫處理、網站後端、網站前端一直到佈署到公開網域，都是我入行以來，一直都在接觸的工作。也有在工作中，赴考 Google Associate Cloud Engineer ，並且取得證照。我常撰寫技術分享文件，願意與其他

Web

SQL

Machine Learning

Full-time / Interested in working remotely

4-6 years

國立成功大學

・

應用數學

唐士傑

AI工程師、機器學習工程師、深度學習工程師、資料科學家，演算法工程師、Machine Learning Engineer、Deep Learning Engineer、Data Scientist

Within one month

離散機率，並閱讀過深度監督式學習、深度強化式學習之論文。新竹市, 台灣[email protected] 已服役學歷國立陽明交通大學資訊科學與工程研究所博士資工, 人工智慧, 電腦對局 •GPA 3.55 / 4) 國立交通大學資訊工程系學士資工 •自介在陽明交大Computer Game

C/C++

Git

OOP

Taiwan

Full-time / Interested in working remotely

國立陽明交通大學

・

資工, 人工智慧, 電腦對局

李慕全(MuChuan Li)

軟體工程師 @TSMC 台積電

・

2024 ~ Present

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

Within one month

穩定性與可靠性，並持續改善維運流程。技術：Software Operation skills Service Provider • Taron Solutions Limited 五月十月 2023 數據搜集及資料預處理： • 開發爬蟲系統：使用者只需設定關鍵字即可自動爬取各大醫學論文網站當今的文章，爬取網站包含：PubMed、Google Patent、Internet Archive Scholar。 • 資料清理：將文章內容...

Machine Learning

Computer Vision

Pytorch/Tensorflow

Taiwan

Full-time / Interested in working remotely

國立臺北科技大學

・

資訊工程

Available for paid companies

AI研發高工師 @台灣化學纖維股份有限公司

・

2018 ~ 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

office

Python

Data Analysis

Taiwan

Full-time / Interested in working remotely

6-10 years

國立台北大學

・

統計學

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Within two months

陳政陽

AI/ML Engineer

緯創資通

・

2020 ~ Present

高雄市, 台灣

台灣

Professional Background

Current status

Employed

Job Search Progress

Ready to interview

Professions

Data Scientist, Machine Learning Engineer

Fields of Employment

Artificial Intelligence / Machine Learning, Consumer Electronics, Information Services

Work experience

4-6 years

Management

None

Skills

Computer Science

Computer Vision

Data Science

Machine Learning

Deep Learning

Docker

TensorFlow

PyTorch

Python

Statistics Analysis

AI & Machine Learning

Languages

English

・

Intermediate

Chinese

・

Native or Bilingual

Job search preferences

Positions

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

Job types

Full-time

Locations

臺灣

Remote

Interested in working remotely

Freelance

Educations

School

National Cheng Kung University

Major

Industrial and Information Management

陳政陽 Ethan

AI/ML Engineer, Data Scientist

Curious about data and everything innovative,
building AI applications to solve problem.
Enjoy life beyond work,
exercise and traveling are my interests.

Kaohsiung City, Taiwan

[email protected]

陳政陽

SUMMARY

Proven AI/ML Experience: Over 5 years experience in transforming complex data into impactful solutions.
Technical Proficiency: Highly adept at developing advanced models in computer vision, generative AI and Statistics to boost efficiency, mitigate risks, and support strategic decision-making.
Impactful Projects : Delivered innovative AI-driven solutions across industries such as AOI, manufacturing, and transportation, enhancing productivity and quality.
Mentorship : Experienced in designing comprehensive AI/ML training programs and mentoring cross-functional members to complete AI projects.

WORK EXPERIENCE

Data Scientist • Wistron

Feb. 2020 - Now

Develop deep learning models to solve the problem of computer vision, generative AI and LLM
Develop machine learning models to do numerical analysis
Design APIs and deploy the services via virtual environment
Dig out beneficial information from complex data to support decision-making

Algorithm Engineer • Foresight Technology

Oct. 2019 - Feb. 2020

Enhance the algorithm of Automatic Virtual Metrology System(AVM)
Apply AVM in production system

Industrial Engineer • Winbond

Mar. 2019 - Aug. 2019

Analyze the manufacturing data to improve the bottleneck of process
Develop real-time reports for monitoring the production status

EDUCATION

National Cheng Kung University

M.S. Industrial and Information Management

GPA: 3.73/4.3
Main courses: Machine learning, Statistics

Aug. 2015 - Jun. 2017

National University of Kaohsiung

B.S. Industrial Management

Main courses: Statistics, Quality management, Production management

Jul. 2011 - Jun. 2015

SKILLS

Computer Vision

Image Classification
Image Segmentation
Object Detection
Anomaly Detection
Text Recognition
Image Caption
Image Preprocessing

Generative AI

Unconditional Generation
Text-to-Image
Image-to-Image
LLM Fine-tune
Prompt Engineering
RAG

Data Science

EDA
Data Cleaning
Statistical Analysis
Machine Learning

Tools & Frameworks

Python
Git / GitHub / GitLab
Docker
Linux
TensorFlow
PyTorch
Scikit-learn
HuggingFace

PROJECTS

MRT Drone Inspection

Apply drones with AI techniques in MRT tunnel, platform and bridge to improve the efficiency of inspection.

Reducing inspection time by 70%.

Task 1. Tunnel Clearance:
- Clear tunnels to ensure the safety of subway operations.
Task 2. Bending Rails Detection:
- Check for any bending or deformation on the tracks.
Task 3. Synthesize Anomalous Data:
- Blend normal images and abnormal objects to synthesize anomalous data.
Task 4. Bridge Inspection:
- Detect and recognize the alert information from bridge piers to monitor the displacement

Diffusion in AOI

Design a multi-functional AOI data-augmentation platform to reduce the data collection time by 30~50%.

Apply diffusion models to generate abnormal images
Develop data-augmentation platform
Implement experiments to test the generative images

Optimal parameters in Factories

Develop AI models to solve the bottlenecks in the manufacturing process.

Automating the overall workflow at least 80%.

Task 1. Optimal parameters:
- Optimal temperature recommendations for boilers.
Task 2. Optimal parameters:
- Optimal production parameters recommendations.
Task 3. Enhance Order Fill Rate:
- Predict the delivery date of products.
Task 4. Inventory Optimization:
- Forecast the demand for the work-in-process.

Low Code/No Code Training Course

Teach internal members how to do their AI projects with tools and LLM.

Highly reduce the communication barriers.

Lecturer:
- Teach basic AI and ML courses for internal members
Teaching Assistant:
- Guide each participant to complete their individual AI projects.
Course Designer:
- Design the courses and textbooks.

Generate Documents with LLM

Extract and map information from different documents to generate a new one.

Automate the generation of 90% content.

Extract tables/images from PDF with GPT-4/GPT-4o
Extract data from Excel
Map the information to rebuild a new Excel
Prompt Engineering

THESIS

National Cheng Kung University

"Application of Mahalanobis-Taguchi System and Statistical Process Control Charts for the Alerts of Real-time Predictive Maintenance", 2017.

Real-Time Predictive Maintenance System:
- Monitor the machines and identify whether they are healthy or unhealthy based on their status.

PATENT AND CERTIFICATION

Optimal Parameters

"Method for Establishing Temperature prediction Model Heating Temperature Heating Method, and Thermal Circulation System", 2022, TW1783739 B.

Optimal parameters recommendations for boiler

Azure: AI-900 (2021)

Microsoft Certified: Azure AI Fundamentals

Resume

Profile

陳政陽 Ethan

AI/ML Engineer, Data Scientist

Curious about data and everything innovative,
building AI applications to solve problem.
Enjoy life beyond work,
exercise and traveling are my interests.

Kaohsiung City, Taiwan

[email protected]

陳政陽

SUMMARY

Proven AI/ML Experience: Over 5 years experience in transforming complex data into impactful solutions.
Technical Proficiency: Highly adept at developing advanced models in computer vision, generative AI and Statistics to boost efficiency, mitigate risks, and support strategic decision-making.
Impactful Projects : Delivered innovative AI-driven solutions across industries such as AOI, manufacturing, and transportation, enhancing productivity and quality.
Mentorship : Experienced in designing comprehensive AI/ML training programs and mentoring cross-functional members to complete AI projects.

WORK EXPERIENCE

Data Scientist • Wistron

Feb. 2020 - Now

Develop deep learning models to solve the problem of computer vision, generative AI and LLM
Develop machine learning models to do numerical analysis
Design APIs and deploy the services via virtual environment
Dig out beneficial information from complex data to support decision-making

Algorithm Engineer • Foresight Technology

Oct. 2019 - Feb. 2020

Enhance the algorithm of Automatic Virtual Metrology System(AVM)
Apply AVM in production system

Industrial Engineer • Winbond

Mar. 2019 - Aug. 2019

Analyze the manufacturing data to improve the bottleneck of process
Develop real-time reports for monitoring the production status

EDUCATION

National Cheng Kung University

M.S. Industrial and Information Management

GPA: 3.73/4.3
Main courses: Machine learning, Statistics

Aug. 2015 - Jun. 2017

National University of Kaohsiung

B.S. Industrial Management

Main courses: Statistics, Quality management, Production management

Jul. 2011 - Jun. 2015

SKILLS

Computer Vision

Image Classification
Image Segmentation
Object Detection
Anomaly Detection
Text Recognition
Image Caption
Image Preprocessing

Generative AI

Unconditional Generation
Text-to-Image
Image-to-Image
LLM Fine-tune
Prompt Engineering
RAG

Data Science

EDA
Data Cleaning
Statistical Analysis
Machine Learning

Tools & Frameworks

Python
Git / GitHub / GitLab
Docker
Linux
TensorFlow
PyTorch
Scikit-learn
HuggingFace

PROJECTS

MRT Drone Inspection

Apply drones with AI techniques in MRT tunnel, platform and bridge to improve the efficiency of inspection.

Reducing inspection time by 70%.

Task 1. Tunnel Clearance:
- Clear tunnels to ensure the safety of subway operations.
Task 2. Bending Rails Detection:
- Check for any bending or deformation on the tracks.
Task 3. Synthesize Anomalous Data:
- Blend normal images and abnormal objects to synthesize anomalous data.
Task 4. Bridge Inspection:
- Detect and recognize the alert information from bridge piers to monitor the displacement

Diffusion in AOI

Design a multi-functional AOI data-augmentation platform to reduce the data collection time by 30~50%.

Apply diffusion models to generate abnormal images
Develop data-augmentation platform
Implement experiments to test the generative images

Optimal parameters in Factories

Develop AI models to solve the bottlenecks in the manufacturing process.

Automating the overall workflow at least 80%.

Task 1. Optimal parameters:
- Optimal temperature recommendations for boilers.
Task 2. Optimal parameters:
- Optimal production parameters recommendations.
Task 3. Enhance Order Fill Rate:
- Predict the delivery date of products.
Task 4. Inventory Optimization:
- Forecast the demand for the work-in-process.

Low Code/No Code Training Course

Teach internal members how to do their AI projects with tools and LLM.

Highly reduce the communication barriers.

Lecturer:
- Teach basic AI and ML courses for internal members
Teaching Assistant:
- Guide each participant to complete their individual AI projects.
Course Designer:
- Design the courses and textbooks.

Generate Documents with LLM

Extract and map information from different documents to generate a new one.

Automate the generation of 90% content.

Extract tables/images from PDF with GPT-4/GPT-4o
Extract data from Excel
Map the information to rebuild a new Excel
Prompt Engineering

THESIS

National Cheng Kung University

"Application of Mahalanobis-Taguchi System and Statistical Process Control Charts for the Alerts of Real-time Predictive Maintenance", 2017.

Real-Time Predictive Maintenance System:
- Monitor the machines and identify whether they are healthy or unhealthy based on their status.

PATENT AND CERTIFICATION

Optimal Parameters

"Method for Establishing Temperature prediction Model Heating Temperature Heating Method, and Thermal Circulation System", 2022, TW1783739 B.

Optimal parameters recommendations for boiler

Azure: AI-900 (2021)

Microsoft Certified: Azure AI Fundamentals