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4-6 years
6-10 years
10-15 years
More than 15 years
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.
Offline
Avatar of 喬康豪.
Offline
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.
Avatar of 施冠宇.
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
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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
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Teamwork
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Leadership
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Within one month
全端工程師
Logo of 中冠資訊股份有限公司.
中冠資訊股份有限公司
2021 ~ Present
台灣高雄
Professional Background
Current status
Employed
Job Search Progress
Ready to interview
Professions
Front-end Engineer, Back-end Engineer
Fields of Employment
Internet of Things (IoT)
Work experience
6-10 years
Management
None
Skills
Vue.js
Node.js / Express.js
k8s
Angular
Spring Boot
TypeScript
Languages
Chinese
Native or Bilingual
English
Beginner
Job search preferences
Positions
網站後端工程師
Job types
Full-time
Locations
台灣高雄
Remote
Interested in working remotely
Freelance
Educations
School
清華大學 National Tsing Hua University
Major
核子工程 nuclear engineering
Print

喬康豪

full-stack-engineer

前端技能 :  vue.js, angular, sass, restful api, websocket

後端技能 :  node.js, spring boot, , rabbitmq, websocket, k8s

Profile 04 00@2x

Skliis


Font-End

Vue.js

angular

Sass

websocket

RWD



Back-End 

spring boot

rabbitmq

websocket

Restful Api

nodejs

laravel

Deep-Learning 

Object Detection 
Object Tracking 
YOLO 
pytorch




開發工具及環境

git
docker
k8s
ubuntu


Program Language

python 
nodejs
typescript
java
php






工作經歷


中冠資訊, 全端工程師, October 2021 ~ 現在


說明: 根據中鋼廠區需求進行專案

工作內容: 根據使用者需求進行前端畫面製作,表單設計及後端程式開發,將資料呈現給產線人員

其中較複雜的案子架構如下:

  排程轉檔微服務 ==> db                     mq server <== 資料拋送微服務

                        ↑↓                 ↗

                  web service    ↗

                       ↑↓            監聽mq =>警報發送

                       ↑↓

                  操作頁面


排程轉檔: 約3隻微服物定時將產線資料整理做格式轉換,來源為ftp的檔案

mq資料拋送: 某些資料採用mq進行拋送,web service收到資料將觸發警報發送

web service: 處理資料庫資料及與前端的交互


卡訊電子, 前端工程師, March 2020 ~ October 2021

專案1: AI臉部追蹤
架設臉部追蹤模型於嵌入式系統,回傳人臉座標於伺服器,伺服器利用onvif協定操控設備上的攝影機進行人臉追蹤,並將畫面回傳給前端

專案2: 故障燈號檢測
自動化產品檢測,產品檢測時會有不同顏色的燈號,利用yolov3模型判斷燈號顏色來進行自動化檢測

專案3: 會議主機前端開發
與後端api串接,前端的框架為vue,使用的技術包含websocket, restful api, 多語系切換等

深度學習工程師 deep-learning-engineer, 工研院 Industrial Technology Research Institute, Sep 2018 ~ Jan 2020

自駕船計畫:辨識愛河上的船及障礙物,將辨識資訊即時回傳至操控台進行自動避碰。
工作項目:
(1) 物件辨識:利用yolo模型進行河面上之障礙物辨識
(2) 物件追蹤:利用深度學習追蹤演算法(Siames RPN)進行高速追蹤
(3) 追蹤優化:辨識結果結合Kalmam filter進行優化

youtube字幕資料收集:將內影片嵌字幕轉換成文字,生成語音訓練資料
工作項目:
(1) 資料爬蟲:使用scrapy進行字幕與影像爬蟲
(2) 字幕辨識:利用super resolution模型將影片背景黑化,再利用OCR將內嵌字幕轉換成文字

清華大學 National Tsing Hua University, 深度學習工程師 deep-learning-engineer, Oct 2017 ~ Sep 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解碼進行文本摘要總結訓練。
(4) 對話機器人:收集大量影集對白作為訓練資料,利用sequence to sequence模型架構進行對話機器人訓練。

wemo scooter, Android app developer, Oct 2016 ~ Aug 2017

公司營運項目為電動機車租借,主要開發項目為:
(1) 依照需求進行Android App開發與修改
(2) 與後端進行restful api串接
(3) 串接google map api

學歷

清華大學 National Tsing Hua University, 碩士學位, 核子工程 nuclear engineering, 2013 ~ 2015

東海大學 Tung Hai University, 學士學位, 應用物理 physics, 2005 ~ 2010

專案

課程預約系統


說明: 使用者可以創建課程供預約服務,創建課程後會產生該課程的預約url讓使用者預約,使用者可以選擇是否同步至google行事曆
使用技術: 
    * 部署於k8s上,讓k8s控管達到高可用
    * 使用OAth2.0進行google帳號登入
    * google行事曆api串接
    * 利用mq進行google行事曆同步失敗處理 
    * 快取層 
    * nodejs 
    * angular

可以由以下連結進行預約體驗
課程預約: 課程預約連結

畫面截圖

根據不同裝置大小,有不同的預約介面設計。

Resume
Profile

喬康豪

full-stack-engineer

前端技能 :  vue.js, angular, sass, restful api, websocket

後端技能 :  node.js, spring boot, , rabbitmq, websocket, k8s

Profile 04 00@2x

Skliis


Font-End

Vue.js

angular

Sass

websocket

RWD



Back-End 

spring boot

rabbitmq

websocket

Restful Api

nodejs

laravel

Deep-Learning 

Object Detection 
Object Tracking 
YOLO 
pytorch




開發工具及環境

git
docker
k8s
ubuntu


Program Language

python 
nodejs
typescript
java
php






工作經歷


中冠資訊, 全端工程師, October 2021 ~ 現在


說明: 根據中鋼廠區需求進行專案

工作內容: 根據使用者需求進行前端畫面製作,表單設計及後端程式開發,將資料呈現給產線人員

其中較複雜的案子架構如下:

  排程轉檔微服務 ==> db                     mq server <== 資料拋送微服務

                        ↑↓                 ↗

                  web service    ↗

                       ↑↓            監聽mq =>警報發送

                       ↑↓

                  操作頁面


排程轉檔: 約3隻微服物定時將產線資料整理做格式轉換,來源為ftp的檔案

mq資料拋送: 某些資料採用mq進行拋送,web service收到資料將觸發警報發送

web service: 處理資料庫資料及與前端的交互


卡訊電子, 前端工程師, March 2020 ~ October 2021

專案1: AI臉部追蹤
架設臉部追蹤模型於嵌入式系統,回傳人臉座標於伺服器,伺服器利用onvif協定操控設備上的攝影機進行人臉追蹤,並將畫面回傳給前端

專案2: 故障燈號檢測
自動化產品檢測,產品檢測時會有不同顏色的燈號,利用yolov3模型判斷燈號顏色來進行自動化檢測

專案3: 會議主機前端開發
與後端api串接,前端的框架為vue,使用的技術包含websocket, restful api, 多語系切換等

深度學習工程師 deep-learning-engineer, 工研院 Industrial Technology Research Institute, Sep 2018 ~ Jan 2020

自駕船計畫:辨識愛河上的船及障礙物,將辨識資訊即時回傳至操控台進行自動避碰。
工作項目:
(1) 物件辨識:利用yolo模型進行河面上之障礙物辨識
(2) 物件追蹤:利用深度學習追蹤演算法(Siames RPN)進行高速追蹤
(3) 追蹤優化:辨識結果結合Kalmam filter進行優化

youtube字幕資料收集:將內影片嵌字幕轉換成文字,生成語音訓練資料
工作項目:
(1) 資料爬蟲:使用scrapy進行字幕與影像爬蟲
(2) 字幕辨識:利用super resolution模型將影片背景黑化,再利用OCR將內嵌字幕轉換成文字

清華大學 National Tsing Hua University, 深度學習工程師 deep-learning-engineer, Oct 2017 ~ Sep 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解碼進行文本摘要總結訓練。
(4) 對話機器人:收集大量影集對白作為訓練資料,利用sequence to sequence模型架構進行對話機器人訓練。

wemo scooter, Android app developer, Oct 2016 ~ Aug 2017

公司營運項目為電動機車租借,主要開發項目為:
(1) 依照需求進行Android App開發與修改
(2) 與後端進行restful api串接
(3) 串接google map api

學歷

清華大學 National Tsing Hua University, 碩士學位, 核子工程 nuclear engineering, 2013 ~ 2015

東海大學 Tung Hai University, 學士學位, 應用物理 physics, 2005 ~ 2010

專案

課程預約系統


說明: 使用者可以創建課程供預約服務,創建課程後會產生該課程的預約url讓使用者預約,使用者可以選擇是否同步至google行事曆
使用技術: 
    * 部署於k8s上,讓k8s控管達到高可用
    * 使用OAth2.0進行google帳號登入
    * google行事曆api串接
    * 利用mq進行google行事曆同步失敗處理 
    * 快取層 
    * nodejs 
    * angular

可以由以下連結進行預約體驗
課程預約: 課程預約連結

畫面截圖

根據不同裝置大小,有不同的預約介面設計。