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Avatar of Chun-Jung Huang.
Avatar of Chun-Jung Huang.
OPC Chief Engineer @TSMC
2020 ~ 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 [email protected] 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
Deep learning with TensorFlow
Translational Research
Clinical Research
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chiao-Tung University
Ph.D. - Clinical Engineering
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 喬康豪.
Avatar of 喬康豪.
全端工程師 @中冠資訊股份有限公司
2021 ~ Present
網站後端工程師
Within one month
2018 實驗室要導入時間序列相關深度學習之先導研究,題目為自然語言處理,利用tensorflow搭建NLP語言模型 (1) 文本分類:利用RNN與CNN進行文本分類。 (2) Word to vector:文字向量轉化 (3) 文本摘要總結:利用sequence to sequence模型架構,輸入經由encoder壓縮,再經由decoder解碼進行文本
Vue.js
Node.js / Express.js
k8s
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
清華大學 National Tsing Hua University
核子工程 nuclear 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 the user.
Avatar of the user.
Research & Development Engineer @三竹資訊股份有限公司
2023 ~ 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
Python
JAVA
Linux
Employed
Open to opportunities
Full-time / Not interested in working remotely
4-6 years
國立中央大學 National Central University
資訊工程
Avatar of YANG MENG-HAN.
Avatar of YANG MENG-HAN.
Business Analyst @EPSON TAIWAN TECHNOLOGY & TRADE CO., LTD
2021 ~ Present
Data Analyst/Data Scientist
Within one month
Assessed parking lot value, consulted which one should be deprecated, where could develop new parking lot service. • Applied Airflow to ensure the stability and accuracy of data. Data Engineer • Breaktime INC. 四月十月 2019 • Crawled articles from different webs and constructed NLP model integrated text-CNN, Logistic, LightGBM, accuracy around 91%. • Analyzed content of articles to calculate content similarity, then recommended readers related articles to improve the click rate and pageview. • Interfaced with GA, dumped data to BigQuery then visualized data via Data Studio to help company partners grasping website traffic. • Advertising
python
machine learning
deep learning
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
台灣大學
生態學與演化生物學研究所
Avatar of the user.
Avatar of the user.
Senior Backend Engineer/Machine Learning Engineer @Calyx Inc.
2022 ~ Present
後端工程師/系統架構師/機器學習工程師
Within one month
Fortran
JavaScript
vue.js
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立臺灣師範大學
地球科學/大氣組
Avatar of SHUN SHENG YANG.
Avatar of SHUN SHENG YANG.
Software Engineer @FasPro Systems Co., Ltd.
2019 ~ Present
資深軟體工程師
Within one month
SHUN SHENG YANG Changhua County, [email protected] https://www.linkedin.com/in/%E8%88%9C%E6%98%87-%E6%A5%8A-213a4112b/ Resume - HackMD bengithub.com) 工作經歷 Software Engineer • FasPro Systems Co., Ltd. 八月Present | Taipei, Taiwan Develop the Windows/Android application, MediCam, which is used to connect, capture video, and control the wireless medical camera. Design, Develop and Deploy the deep learning model(CNN) to detect the abnormality area around the anus. Collaborated with EE to complete FM-105
Node.js
ROS(Robot Operation System)
Android
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Yang Ming University
醫學工程學系
Avatar of 施冠宇.
Offline
Avatar of 施冠宇.
Offline
Data engineer @H2 Inc.
2021 ~ Present
AI engineer, ML engineer, data scientist
Within three months
對應的數據分析 - 針對不同 project 進行 exploratory data analysis 分析 AI 工程師 • 林口長庚醫院-AI core lab 六月三月 2021 【建置 AI 模型與應用】 - 利用 AI deep learning CNN models,解決醫療領域的問題 - 利用機器學習方法輔助解決醫療領域問題 - 搭配 Linux bash shell 幫助 AI 模型的運行 1. Corneal ulcer - 建立 two-stage
Airflow
Docker
AWS
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
清華大學
動力機械工程學系
Avatar of Chin Ya Chang.
Avatar of Chin Ya Chang.
Senior Software Engineer @International Integrated Systems, Inc.(IISI)
2020 ~ 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
Chin Ya Chang Machine Learning Engineer New Taipei City , Taiwan [email protected] Current Position: AI Team - Software Engineer at the Central Weather Bureau, specializing in machine learning. Tasks include image generation, numerical prediction, data calibration, recommendation systems, and text generation using data from satellites, radar, and geographic information. I stay updated on AI advancements by studying research papers and implementing new approaches into projects. Recently, I've focused on deploying Large Language Models (LLM) in customer-oriented chatbots. Proficient in Docker for establishing and maintaining development environments, deploying projects to client environments.
Python
PyTorch
Machine Learning
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
私立中原大學 Chung Yuan Christian University
環境工程

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Technical Skills
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Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
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Within three months
Data engineer / Data scientist
Logo of H2 Inc..
H2 Inc.
2021 ~ Present
New Taipei City, Taiwan
Professional Background
Current status
Employed
Job Search Progress
Open to opportunities
Professions
Data Scientist, Data Engineer, Python Developer
Fields of Employment
Artificial Intelligence / Machine Learning, Big Data, Software
Work experience
4-6 years
Management
I've had experience in managing 1-5 people
Skills
Airflow
Docker
AWS
Flask
Python
Machine Learning
Object Detection
Linux
Bash shell
Git
Deep Learning with PyTorch
Data Analysis
PostegreSQL
MongoDB
ETL Pipeline
Wandb
C/C++
Crawler
Languages
Chinese
Native or Bilingual
English
Professional
Job search preferences
Positions
AI engineer, ML engineer, data scientist
Job types
Full-time
Locations
台灣台北市, 台灣新北市, 台灣台中市
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
清華大學
Major
動力機械工程學系
Print

施冠宇

在 H2 inc. 智抗糖 app 中開發 food AI recognition 功能 ,目前服務已經穩定上線

  New Taipei City, Taiwan      


工作經歷

Data engineer  •  H2 Inc.

十二月 2021 - Present

【AI 食物辨識及分類】
- 設計 labeling workflow and rules, 並領導 3 位 labelers 團隊
- 管理 food AI recognition project life cycle, 完成 end-to-end deployment 並根據用戶回饋建立 retrain system
- 幫助公司 app 增加 6 % 用戶參與度並獲得 70 % 用戶滿意度
- 運用 DVC 建置 model experiment tracking, dataset versioning 以及 model management

【Airflow 定期排程以及維運 data reports】
- 創建 2 個 ETL pipeline
- 幫助 3 個不同部門維護 8 個 data reports
- 利用 python 去處理並且整合SQL, Google big query, AWS S3 bucket不同來源的 data source

【Data analysis】

- 根據各部門所需提供相對應的數據分析
- 針對不同 project 進行 exploratory data analysis 分析

AI 工程師  •  林口長庚醫院-AI core lab

六月 2019 - 三月 2021

【建置 AI 模型與應用】
- 利用 AI deep learning CNN models,解決醫療領域的問題
- 利用機器學習方法輔助解決醫療領域問題
- 搭配 Linux bash shell 幫助 AI 模型的運行

1. Corneal ulcer
- 建立 two-stage model 並且 fine-tune model 至 80% Accuracy 達 80%, 高於醫師判斷的 66%, 已經與醫師共同發表醫療 AI paper

2. Pterygium案件
- 運用 6 種不同 CNN model 搭配 5 種 data augmentation 並且 fine-tune model,達到 93 % Accuracy on validation dataset. Accuracy 達到 93%, 已與醫師合作發表醫學 paper


3. Pathology案件
-建立 two stage segmentation model, stage one segmentation model 達到86% IOU, stage two segmentation model 達到 94% custom dice coefficient

學歷

清華大學

動力機械工程學系

2014 - 2018

技能

Software


  • AWS
  • Airflow
  • Dagster
  • Docker
  • Git
  • Flask
  • Pytorch
  • Tensorflow
  • DVC

Languages


  • Python
  • SQL
  • Bash-Shell script
  • C/C++
  • Javascript

Technical Skill


  • Data Modeling
  • Custom ETL Development
  • Data Analysis
  • System Resource Analysis
  • AWS IaaS
Resume
Profile

施冠宇

在 H2 inc. 智抗糖 app 中開發 food AI recognition 功能 ,目前服務已經穩定上線

  New Taipei City, Taiwan      


工作經歷

Data engineer  •  H2 Inc.

十二月 2021 - Present

【AI 食物辨識及分類】
- 設計 labeling workflow and rules, 並領導 3 位 labelers 團隊
- 管理 food AI recognition project life cycle, 完成 end-to-end deployment 並根據用戶回饋建立 retrain system
- 幫助公司 app 增加 6 % 用戶參與度並獲得 70 % 用戶滿意度
- 運用 DVC 建置 model experiment tracking, dataset versioning 以及 model management

【Airflow 定期排程以及維運 data reports】
- 創建 2 個 ETL pipeline
- 幫助 3 個不同部門維護 8 個 data reports
- 利用 python 去處理並且整合SQL, Google big query, AWS S3 bucket不同來源的 data source

【Data analysis】

- 根據各部門所需提供相對應的數據分析
- 針對不同 project 進行 exploratory data analysis 分析

AI 工程師  •  林口長庚醫院-AI core lab

六月 2019 - 三月 2021

【建置 AI 模型與應用】
- 利用 AI deep learning CNN models,解決醫療領域的問題
- 利用機器學習方法輔助解決醫療領域問題
- 搭配 Linux bash shell 幫助 AI 模型的運行

1. Corneal ulcer
- 建立 two-stage model 並且 fine-tune model 至 80% Accuracy 達 80%, 高於醫師判斷的 66%, 已經與醫師共同發表醫療 AI paper

2. Pterygium案件
- 運用 6 種不同 CNN model 搭配 5 種 data augmentation 並且 fine-tune model,達到 93 % Accuracy on validation dataset. Accuracy 達到 93%, 已與醫師合作發表醫學 paper


3. Pathology案件
-建立 two stage segmentation model, stage one segmentation model 達到86% IOU, stage two segmentation model 達到 94% custom dice coefficient

學歷

清華大學

動力機械工程學系

2014 - 2018

技能

Software


  • AWS
  • Airflow
  • Dagster
  • Docker
  • Git
  • Flask
  • Pytorch
  • Tensorflow
  • DVC

Languages


  • Python
  • SQL
  • Bash-Shell script
  • C/C++
  • Javascript

Technical Skill


  • Data Modeling
  • Custom ETL Development
  • Data Analysis
  • System Resource Analysis
  • AWS IaaS