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4-6 years
6-10 years
10-15 years
More than 15 years
Avatar of Patrick Hsu.
Avatar of Patrick Hsu.
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
Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for
Python
AI & Machine Learning
Image Processing
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
Avatar of Wang Chunshan.
Avatar of Wang Chunshan.
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
Chun Shan, Wang [email protected] SUMMARY I'm a skilled software engineer, experienced in NLP and Data Engineering for over 4 years. I've delivered dependable solutions across commercial, educational, and psychological counseling domains. Expertise lies in deploying stable systems, ensuring valuable and trustworthy development. My background seamlessly integrates data and machine learning for comprehensive solutions. KEYWORDS: Python, NLP/NLU, Backend, Data, CI/CD, kubernetes, JAVA Spring, EXPERIENCE Data Engineer,now, TSMC I Build and improved the Python/JAVA services, including caching service with mongoDB and Redis, monitoring
Backend Development
NLP
Python
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
Avatar of 潘揚燊.
Avatar of 潘揚燊.
智慧製造全端開發工程師 @聯華電子股份有限公司
2022 ~ Present
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、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
各製程機台介面之影像辨識功能: OCR 元件、客製化機台影像辨識元件開發、瑕疵檢測模型開發、影像分割模型開放、影像定位演算法開發。 開發功能專案管理:系統設計與功能規劃,與外包共同完成系統優化與功能開發。 UMC 12X 廠內RPA專案執行:與使用
Python
Qt
Git
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學
工業工程與管理學系所
Avatar of the user.
Avatar of the user.
Past
後端工程師 @Beyond Cars
2023 ~ 2023
後端工程師
Within one month
MongoDB
MySQL
PostgreSQL
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
輔仁大學
工商心理學
Avatar of 陳閔致.
Avatar of 陳閔致.
Past
外包-全端工程師 @艾力克電機
2023 ~ 2023
前端工程師、後端工程師、全端工程師
Within two months
研究案,ICD國際疾病碼之人工智慧學習的產學合作案子。加入時案子已經有一定進展,主要是跟學長們一起思考如何加速演算法的流程。 SideProject 時數填寫平台 開發一個能幫助學生填報時數的平台,每天會自動化啟動一次這項服務。平台主要是透過
Word
Excel
程式設計
Unemployed
Ready to interview
Intern / Interested in working remotely
4-6 years
國立雲林科技大學
資訊管理系
Avatar of Chung David.
Avatar of Chung David.
Past
IoT software engineer @Upwork as a Freelancer
2022 ~ Present
CTO、Sr.Software Manager、Sr.Software Engineer
Within one month
Chung David 鍾昌興 CELL :SW RD PM軟體開發及專案經理 Taipei City, Taiwan 工作經歷 八月十月 2022 IoT software engineer Upwork as a Freelancer 負責台灣高鐵全省網關控制即時監控系統(基於Web VUE ReactJS & Springboot Java GUI的嵌入式系統設備)的更新。 熟悉的技術: a. 嵌入式Linux、Yocto專案、QT、Cmake、Docker b. MCU、Cortex M、Modbus、OPCUA c.
C programming Language
c++ and c#
Java software development
Unemployed
Ready to interview
Full-time / Interested in working remotely
More than 15 years
國立中興大學
物理
Avatar of the user.
Avatar of the user.
Sr. Full Stack Engineer @類神經網路股份有限公司
2021 ~ Present
資深程式設計師
Within one month
Android
Windows
Linux
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
輔仁大學 Fu Jen Catholic University
Computer Science and Information Engineering
Avatar of 高鈺傑.
Avatar of 高鈺傑.
Past
資深前端工程師 @比房科技
2022 ~ 2024
Frontend developer.
Within one month
開發新功能,並同時評估開發效益,幫助了公司內部的效率與面對市場的能力。 技術使用: A ws, Laravel, PHP, Google analytics, Google Tag, Google Ads, 文字比對演算法 Freelance/Other Freelance 九月五月 2021, 三月 2024 Taipei, Taiwan 從0到1規劃 、 開發與BD,並在2024發布第一個自建的SaaS平台 。 自行接案( 官網 )、部落格
Frontend
Backend
Product
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
暨南大學
電機工程
Avatar of Justin Liu.
Avatar of Justin Liu.
Manager @GOMAJI 夠麻吉
2017 ~ Present
Project Lead / Tech Lead / Team Lead / Technical Manager
Within one month
CI/CD systems and designed internal software processes, communicating closely with executive leadership. (2) Achievement: Enhanced IT infrastructure flexibility and scalability, improved system reliability and operational efficiency, reduced costs. 4. Data Platform and Personalized Recommendation System: (1) Responsibility: Built AWS data platform including ETL, data warehousing, and lakes. Led development of a personalized recommendation system using AWS Personalize, custom algorithm and Generative AI, e.g. OpenAI, Genimi. (2) Achievement: Boosted customer conversion rates by 2% through detailed customer profiles and targeted insights. 5. Research and Training on...
Team Lead
Management Team
Cloud Architecture
Employed
Ready to interview
Full-time / Interested in working remotely
10-15 years
Shih Hsin University
Management Information Systems, General
Avatar of the user.
Avatar of the user.
Past
Sr. Frontend Engineer @旭捷資訊有限公司
2022 ~ 2023
前端工程師、資深前端工程師
Within one month
ReactJS
Redux Toolkit
Ant Design
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
大仁科技大學
應用英文

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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).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
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Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
More than one year
台灣基隆
Professional Background
Current status
Unemployed
Job Search Progress
Not open to opportunities
Professions
Machine Learning Engineer
Fields of Employment
Work experience
Less than 1 year
Management
None
Skills
Tensorflow/Keras
OpenCV
Pandas Scikit-Learn Matplotlib
python programming
Deep learning with TensorFlow
Machine Learning
Languages
English
Intermediate
Job search preferences
Positions
人工智慧工程師、軟體設計工程師、Deep learning engineer、Machine learning engineer、深度學習工程師、機器學習工程師
Job types
Full-time
Locations
台灣台北市
Remote
Interested in working remotely
Freelance
No
Educations
School
淡江大學
Major
資訊工程學系
Print

  Keelung City, Taiwan

Email: [email protected]

Phone: 0933101297

Github: github.com/Rainman5042 

簡孝羽

資訊工程研究所畢業

  AI Engineer  | 積極負責 | 擅於溝通 | 適應力強 | 勇於嘗試新事物

  • 多次競賽相關經驗
  • 碩士研究 - 基於深度學習 BERT 語言模型之醫療影像報告生成系統
  • 深度學習|影像處理 自然語言

於碩士在學期間研究影像處理、自然語言以及影像描述等技術,並將其應用於醫療影像的判讀以及醫療報告生成,期許利用自身所學,降低醫療系統的龐大負擔。在學期間曾參加全國性競賽,並於2019全國智慧製造大數據競賽成功進入決賽,以及2021 Tomofun狗音辨識AI挑戰賽排名前9%,樂於應用自身所學解決各領域所遇到的問題。

Programing & IDEs


  • Python ( 3+ years experience )
  • Jupyter Notebook
  • Visual Studio

Package


  • Tensorflow 
  • Keras
  • Scikit-Learn
  • Numpy
  • Pandas
  • NLTK
  • OpenCV
  • Matplotlib

ML Algorithms


  • Data Preprocessing
  • Feature Engineering 
  • Model Design, Training

  • Data Visualization

  • Transfer Learning  

Machine Learning


  • Statistic Analysis
  • Linear/Logistic Regression
  • Classification
  • Image Captioning

  • CNN

  • BERT

經歷

Jun 2021 - July 2021

2021 Tomofun狗音辨識 AI 百萬挑戰賽

題目: 利用主辦方所提供的六種居家環境音建立音源分類模型,排名前9% (27/300)。 

關鍵字:  Fast Fourier transform, log-Mei spectrum, EfficentNet, Mixup, SpecAugment

May 2020 - Jun 2020

2020全國智慧製造大數據競賽 

題目: 以加工機台的設定參數作為訓練資料,預測其中20個設定參數的數據。

關鍵字: Hot Deck Imputation, LightGBM, K-fold

 Sep 2019 - Jan 2020

大學助理教師

研究生時擔任助理教師,負責淡江資工系大學生App Inventor 2  課程,使用App Inventor 2 做出Android App,提升大學生的程式基本概念。


May 2019 - Jun 2019

2019全國智慧製造大數據競賽 - 進入決賽

題目: 利用刀具加工震動數據預測刀具磨耗類別與加工工件表面品質。

關鍵字: Fast Fourier transform, MFCCs, Linear Regression

學歷

淡江大學

資訊工程學系碩士

2018 - 2020

真理大學

企業管理學系學士

2012 - 2016

碩士論文

基於深度學習 BERT 語言模型之醫療影像報告生成系統

使用IU X-Ray以及PEIR Gross醫療影像資料庫,使用VGG以及ResNet做為影像特徵擷取模型,並使用 Conditional Layer Normalization,來控制 BERT 生成相對應的文字報告,最後使用集束搜尋 (Beam Search) 來增加輸出文字的準確度。研究結果顯示使用BERT結合VGG或ResNet,可達到 BLEU-1 : 0.636,其表現皆優於其他使用RNN的語言模型 。

使用VGG19建立手勢辨識模型

使用24個英文字母手勢影像做為訓練資料,利用Opencv影像經過膨脹處理,使用Otsu二值化做背景去除&手勢定位,利用VGG-19建立分類模型,模型準確率可達到99.5%。

Tomofun狗音辨識 AI 百萬挑戰賽

利用主辦方所提供的六種居家環境音建立音源分類模型

使用log-Mel-Spectrum結合Delta Features & Accelerate features,堆疊成三維影像做為訓練資料,並使用了 SpecAugment、Mixup等前處理。使用 EfficientNet 做為主要的模型架構,ROC Curve score 為 0.981在競賽中排名27 (27/300)


Resume
Profile

  Keelung City, Taiwan

Email: [email protected]

Phone: 0933101297

Github: github.com/Rainman5042 

簡孝羽

資訊工程研究所畢業

  AI Engineer  | 積極負責 | 擅於溝通 | 適應力強 | 勇於嘗試新事物

  • 多次競賽相關經驗
  • 碩士研究 - 基於深度學習 BERT 語言模型之醫療影像報告生成系統
  • 深度學習|影像處理 自然語言

於碩士在學期間研究影像處理、自然語言以及影像描述等技術,並將其應用於醫療影像的判讀以及醫療報告生成,期許利用自身所學,降低醫療系統的龐大負擔。在學期間曾參加全國性競賽,並於2019全國智慧製造大數據競賽成功進入決賽,以及2021 Tomofun狗音辨識AI挑戰賽排名前9%,樂於應用自身所學解決各領域所遇到的問題。

Programing & IDEs


  • Python ( 3+ years experience )
  • Jupyter Notebook
  • Visual Studio

Package


  • Tensorflow 
  • Keras
  • Scikit-Learn
  • Numpy
  • Pandas
  • NLTK
  • OpenCV
  • Matplotlib

ML Algorithms


  • Data Preprocessing
  • Feature Engineering 
  • Model Design, Training

  • Data Visualization

  • Transfer Learning  

Machine Learning


  • Statistic Analysis
  • Linear/Logistic Regression
  • Classification
  • Image Captioning

  • CNN

  • BERT

經歷

Jun 2021 - July 2021

2021 Tomofun狗音辨識 AI 百萬挑戰賽

題目: 利用主辦方所提供的六種居家環境音建立音源分類模型,排名前9% (27/300)。 

關鍵字:  Fast Fourier transform, log-Mei spectrum, EfficentNet, Mixup, SpecAugment

May 2020 - Jun 2020

2020全國智慧製造大數據競賽 

題目: 以加工機台的設定參數作為訓練資料,預測其中20個設定參數的數據。

關鍵字: Hot Deck Imputation, LightGBM, K-fold

 Sep 2019 - Jan 2020

大學助理教師

研究生時擔任助理教師,負責淡江資工系大學生App Inventor 2  課程,使用App Inventor 2 做出Android App,提升大學生的程式基本概念。


May 2019 - Jun 2019

2019全國智慧製造大數據競賽 - 進入決賽

題目: 利用刀具加工震動數據預測刀具磨耗類別與加工工件表面品質。

關鍵字: Fast Fourier transform, MFCCs, Linear Regression

學歷

淡江大學

資訊工程學系碩士

2018 - 2020

真理大學

企業管理學系學士

2012 - 2016

碩士論文

基於深度學習 BERT 語言模型之醫療影像報告生成系統

使用IU X-Ray以及PEIR Gross醫療影像資料庫,使用VGG以及ResNet做為影像特徵擷取模型,並使用 Conditional Layer Normalization,來控制 BERT 生成相對應的文字報告,最後使用集束搜尋 (Beam Search) 來增加輸出文字的準確度。研究結果顯示使用BERT結合VGG或ResNet,可達到 BLEU-1 : 0.636,其表現皆優於其他使用RNN的語言模型 。

使用VGG19建立手勢辨識模型

使用24個英文字母手勢影像做為訓練資料,利用Opencv影像經過膨脹處理,使用Otsu二值化做背景去除&手勢定位,利用VGG-19建立分類模型,模型準確率可達到99.5%。

Tomofun狗音辨識 AI 百萬挑戰賽

利用主辦方所提供的六種居家環境音建立音源分類模型

使用log-Mel-Spectrum結合Delta Features & Accelerate features,堆疊成三維影像做為訓練資料,並使用了 SpecAugment、Mixup等前處理。使用 EfficientNet 做為主要的模型架構,ROC Curve score 為 0.981在競賽中排名27 (27/300)