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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
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 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
Within one month
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)
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
Avatar of 梁賦康 (Foo-Hong, Leong).
Avatar of 梁賦康 (Foo-Hong, Leong).
Product Manager @東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)
2023 ~ 2023
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
梁賦康 (Foo-Hong, Leong) Taoyuan City, Taiwan Email: [email protected] Tel:Skills • Languages: Python • DataBases: MySQL, SQLite • Infrastructure tools: Github • Machine learning libraries: TensorFlow, Keras, and Scikit-learn • Data visualization tools: Power BI, Seaborn and Matplotlib • Deployment: Streamlit Summary I have been working in Motor Manufacturing Industry for 8 years. My first programming was going to my Bachelor's degree, C++ was the first program I learned. Then I started to learn Python in 2018 at TEDU and my first project was the Stock Trend Prediction by CNN. I kept
Python
Power BI
Data Analytics
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學 National Cheng Kung University
Mechanical Engineering
Avatar of Ted Li.
Avatar of Ted Li.
Past
Senior Firmware Engineer @Artesyn Embedded Technologies
2019 ~ 2022
韌體工程師/軟體工程師/控制工程師/演算法工程師/
Within one month
Ted Li Senior Firmware Engineer Over 6 years of firmware/software development expertise as a Senior Firmware Engineer, specializing in embedded systems, cross- functional projects, and RL-optimizations. Driving global technical innovations and training. New Taipei City, Taiwan [email protected] https://github.com/armcortex https://www.linkedin.com/in/ted-li/ https://about.armcortex.cc/ Skill Programming C/C++ Python Bash SQL AI (PyTorch, TensorFlow, Keras) Tool RTOS Embedded System Git Docker/Docker Compose
C
Python
C/C++
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
日本電氣通信大學 The University of Electro-Communications (UEC)
Robotics Engineering
Avatar of the user.
Avatar of the user.
Data Analyst & IoT Software Developer @FARAZ ERTEBAT
2021 ~ Present
Computer Vision / Deep Learning
Within one month
C#
C/C++
MySQL
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
University of Qom
Information Technology | Face Recognition
Avatar of Alex Yu.
Avatar of Alex Yu.
Product Manager @Linker Vision
2023 ~ Present
PM/產品經理/專案管理
Within one month
detection, segmentation, and classification AI scenario. Good communication skills with doctors' demands and collaboration with colleagues. Patent Disclosure: Ultrasound detect and notify system. (serial number: I學歷 SepJun 2 National Taiwan University of Science and Technology Masters in Electrical Engineering Thesis "Online Data Stream Analytics for Dynamic Environments Using Self-Regularized Learning Framework", IEEE journal SepJun 2020 Yuan Ze University Bachelor in Electrical Engineering Skills Customer/VC negotiation and customer services DL/ML/AI algorithm, keen problem solving 3D modeling (Blender) Python, Matlab, Tensorflow, Keras Object detection, Classification, [email protected]
Business Development
Deep Learning
PYTHON
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣科技大學 National Taiwan University of Science and Technology
電機工程
Avatar of Kao Yu Chun.
Avatar of Kao Yu Chun.
Past
Full Stack Developer @PD Case Informática Ltda
2022 ~ Present
前端工程師 Front-End Developer
Within one month
高鈺鈞 我有超過5年軟體開發經驗的開發者,專注於前端開發。在我的職業生涯中,我有機會接觸到多種編程語言,如Java(包括Android開發),JavaScript,Kotlin,TypeScript和Python;同時也涉及到多種技術和框架,包括Angular,React,Redux,Spring Boot,TensorFlowKeras和OpenCV;還有Oracle,MySQL和ElasticSearch等資料庫技術。 我喜歡迎接
Java
Javascript
docker
Reputation Credits3
Unemployed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
巴西聯邦大學
系統發展與分析
Avatar of the user.
Avatar of the user.
高級軟體工程師 @瀚宇彩晶股份有限公司
2022 ~ Present
Within three months
Python
Vue.js
Node.js / Express.js
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立臺中科技大學National Taichung University of Science and Technology.
資訊工程系-碩士
Avatar of 許立農.
Avatar of 許立農.
數據科學家 @中國信託商業銀行股份有限公司
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 three months
許立農 | Hsu, Li-Nung Data Scientist、Data Engineer Taipei [email protected] Education National Chenchi University, MS, Statistics, 2015 – 2017 GPA : 3.84 / 4.0 Master Thesis: Entropy Based Feature Selection, Professor Pei-Ting, Chou Objective: Build a similarity matrix based on Mutual Entropy under Hierarchical Clustering. Afterwards, select clustered features as the final selection. Compare the model with other feature selection methods like RF, Lasso, F-score. National Chen-Kung University, BS, Mathematics, 2011 – 2015 Skills Programing Python Scala R MSSQL Data-related Tools Tensorflow (Keras) PyTorch Spark Docker
Python
R
MSSQL
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
政治大學
統計
Avatar of 王豪逸.
Avatar of 王豪逸.
Software Developer @ZeroLogix
2022 ~ Present
前端工程師 Front-End Developer
Within one month
王豪逸 中山大學資訊管理學系 研究所 [email protected] https://github.com/strongball 技能 程式語言 JavaScript TypeScript Python C Java C# 開發工具 Git Docker Linux(ubuntu) Jest 前端開發 Vue, Nuxtjs React , Nextjs Graphql Restful WebSocket CSS-in-JS, styled-components Electron 後端開發 Graphql ORM(Typeorm, Prisma) MySQL, PostgreSQL 資料分析 / 機器學習 Pytorch TensorFlow Keras Scikit-learn 工作經歷 科林儀器
Python
React.js
Next.js
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立中山大學-資管系
資訊管理

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Adaptability
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Within six months
ML Engineer
南亞塑膠
2020 ~ Present
Taipei City, Taiwan
Professional Background
Current status
Unemployed
Job Search Progress
Professions
Data Engineer, Python Developer, Data Scientist
Fields of Employment
Manufacturing
Work experience
2-4 years
Management
I've had experience in managing 1-5 people
Skills
Unity
C#
Python
Flask(Python)
SQL/MySQL
SQLite
Docker
pytorch
Languages
English
Fluent
Job search preferences
Positions
資料工程師
Job types
Full-time
Locations
台灣台北
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
台灣科技大學
Major
電機系
Print

蔡鈞宇

ML-Engineer

0939-747-613

[email protected]

畢業於台科大電機系,前工作任職於南亞塑膠工業股份有限公司,    從事 AI 專案研究及開發。

具備 2 年製造業數位轉型、資料分析、ML及DL模型架設及上線之經驗 擅長使用 Docker 部署模型應用 精通團隊溝通、需求討論及跨部門    工作整合 

喜歡發現不同的議題並透過自學完成專案,個人 side-project 有:

1.  器宇不凡,必成大器?使用 GAN 生成一張臺灣無敵選舉臉

2.  Whisper 指向型音響智慧立燈


Englisth Resume: Resume_Chun-Yu-Tsai

Programing


  • Python
  • SQL

Modeling


  • ML
  • PyTorch

Other Tools


  • Flask
  • Docker
  • AirFlow

工作經歷

    AI 工程師  •  南亞塑膠工業股份有限公司

     八月 2020 - 七月 2022

     工作內容:

          1. 開發儀錶板介面供工廠人員監控生產數據,使用 docker 部署至各廠並管理 work flow 

          2. 使用時序分析、ML 技術及最佳化演算法建立「機台自動調參最佳化系統」,節省塑膠管製程 0.3% 年原料

               耗用,年效益增加 260 萬 

          3. 使用 CNN 模型建立「雜質檢出系統」,即時檢出塑膠膜表面雜質並通知人員調整,提升塑膠膜製程 5% 收率 

          4. 使用時序分析及 VAE 建立「設備健康度分析系統」,提升工廠設備異常預警能力 


   軟硬體工程師  •  脈動心聯互動設計公司

     八月 2017 - 十一月 2019

     工作內容:

          1. 前端網頁建置 UI 介面供使用者操作並回饋互動結果

          2. 後端及資料庫串接,使用 Node.js/ Flask 建立後台架構並使用 MS SQL 紀錄使用者相關資訊

          3. 互動方案設計及展示,了解客戶需求後透過原型開發及展示協助客戶發掘解決方案

專案成果

器宇不凡,必成大器?使用 GAN 生成一張臺灣無敵選舉臉

1. 分析發現臺灣政治人物的臉可以分成 6 種

2. 成功描繪出各種類不同的性質甚至是選舉表現

3. 目前還不行「看臉就知道選不選得上」,但可以「知道正常狀況下你的選舉表現會如何」

4. 正在進行「假臉生成」,期待透過「虛擬選舉」持續收集資料以訓練模型




文章內容較長,請先參考「結論」的部份


作品連結:器宇不凡,必成大器? ─ 結論


Whisper 指向型音響智慧立燈

1. 使用 RaspberryPI 執行影像物件辨識,串接硬體進行人體追蹤篤音響投射

2. 使用 Flask 建立介面供使用者透過手機與裝置互動

作品連結:Whisper-hear it as where you are


學歷

    2014 - 2019

   台灣科技大學

    電機系

證書及競賽成果

TOEIC 855

Reading: 435
Listening: 420

TomoFun 狗音辨識 AI 競賽─決賽

使用 TomoFun 官方提供之資料集辨識 6 種狗叫聲音,以accuracy 98.37% 的成績進入決賽

於決賽使用 AWS SageMaker 及 S3 訓練及部署模型

LeaderBoard (名次: 17, 隊名: DeepCake)


Resume
Profile

蔡鈞宇

ML-Engineer

0939-747-613

[email protected]

畢業於台科大電機系,前工作任職於南亞塑膠工業股份有限公司,    從事 AI 專案研究及開發。

具備 2 年製造業數位轉型、資料分析、ML及DL模型架設及上線之經驗 擅長使用 Docker 部署模型應用 精通團隊溝通、需求討論及跨部門    工作整合 

喜歡發現不同的議題並透過自學完成專案,個人 side-project 有:

1.  器宇不凡,必成大器?使用 GAN 生成一張臺灣無敵選舉臉

2.  Whisper 指向型音響智慧立燈


Englisth Resume: Resume_Chun-Yu-Tsai

Programing


  • Python
  • SQL

Modeling


  • ML
  • PyTorch

Other Tools


  • Flask
  • Docker
  • AirFlow

工作經歷

    AI 工程師  •  南亞塑膠工業股份有限公司

     八月 2020 - 七月 2022

     工作內容:

          1. 開發儀錶板介面供工廠人員監控生產數據,使用 docker 部署至各廠並管理 work flow 

          2. 使用時序分析、ML 技術及最佳化演算法建立「機台自動調參最佳化系統」,節省塑膠管製程 0.3% 年原料

               耗用,年效益增加 260 萬 

          3. 使用 CNN 模型建立「雜質檢出系統」,即時檢出塑膠膜表面雜質並通知人員調整,提升塑膠膜製程 5% 收率 

          4. 使用時序分析及 VAE 建立「設備健康度分析系統」,提升工廠設備異常預警能力 


   軟硬體工程師  •  脈動心聯互動設計公司

     八月 2017 - 十一月 2019

     工作內容:

          1. 前端網頁建置 UI 介面供使用者操作並回饋互動結果

          2. 後端及資料庫串接,使用 Node.js/ Flask 建立後台架構並使用 MS SQL 紀錄使用者相關資訊

          3. 互動方案設計及展示,了解客戶需求後透過原型開發及展示協助客戶發掘解決方案

專案成果

器宇不凡,必成大器?使用 GAN 生成一張臺灣無敵選舉臉

1. 分析發現臺灣政治人物的臉可以分成 6 種

2. 成功描繪出各種類不同的性質甚至是選舉表現

3. 目前還不行「看臉就知道選不選得上」,但可以「知道正常狀況下你的選舉表現會如何」

4. 正在進行「假臉生成」,期待透過「虛擬選舉」持續收集資料以訓練模型




文章內容較長,請先參考「結論」的部份


作品連結:器宇不凡,必成大器? ─ 結論


Whisper 指向型音響智慧立燈

1. 使用 RaspberryPI 執行影像物件辨識,串接硬體進行人體追蹤篤音響投射

2. 使用 Flask 建立介面供使用者透過手機與裝置互動

作品連結:Whisper-hear it as where you are


學歷

    2014 - 2019

   台灣科技大學

    電機系

證書及競賽成果

TOEIC 855

Reading: 435
Listening: 420

TomoFun 狗音辨識 AI 競賽─決賽

使用 TomoFun 官方提供之資料集辨識 6 種狗叫聲音,以accuracy 98.37% 的成績進入決賽

於決賽使用 AWS SageMaker 及 S3 訓練及部署模型

LeaderBoard (名次: 17, 隊名: DeepCake)