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On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Avatar of 陶俊良.
Avatar of 陶俊良.
資料分析師 Data Analyst @Portto 門戶科技| Blocto
2022 ~ 2024
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
一個月內
陶俊良 (Tao,Chun-Liang) Taipei, Taiwan Email: [email protected] Phone:I am very sensitive to data and enjoy finding inspiration and ideas from them. I am proficient in machine learning, text analysis, and recommendation systems, EVM blockchain analytics, and currently use Python as my primary programming languages. I am always open to learning new things, such as learning new data structure from blockchain. I am currently very interested in blockchain data and on-chain user segamentation. I was working in digital media, advertising (DSP, SSP, DMP platforms), gaming user analyst, blockchain
python
R
MySQL
就职中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
臺灣大學
流行病學與預防醫學所 生物統計組
Avatar of the user.
Avatar of the user.
智慧製造全端開發工程師 @聯華電子股份有限公司
2022 ~ 现在
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、Ai Application Engineer,Machine Learning Engineer,Deep Learning Engineer,Data Scientist
一個月內
Python
Qt
Git
就职中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
元智大學 Yuan Ze University
工業工程與管理學系所
Avatar of the user.
Avatar of the user.
曾任
博士後研究員 @洛桑大學神經發育疾病實驗室
2023 ~ 2023
Data Scientist, Data Analyst, Machine Learning Engineer
一個月內
Data Science
Data Analysis
Machine Learning
待业中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
洛桑聯邦理工學院(EPFL)
神經科學
Avatar of 李慕全(MuChuan Li).
Avatar of 李慕全(MuChuan Li).
曾任
Service Provider @Taron Solutions Limited
2023 ~ 2023
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
一個月內
李慕全(MuChuan Li) 畢業於國立臺北科技大學資工所,研究領域為深度學習、電腦視覺、及影像處理。在學期間致力於應用電腦視覺技術解決交通問題,擁有多項產學合作的專案開發經驗,亦在電腦視覺領域中發表過多篇學術論文,主要研究主題包含物
Machine Learning
Computer Vision
Pytorch/Tensorflow
待业中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立臺北科技大學
資訊工程
Avatar of the user.
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
一個月內
Python
R
Natural Language Processing (NLP)
就职中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立政治大學(National Chengchi University)
資訊科學系
Avatar of 邱義塵.
Avatar of 邱義塵.
曾任
Data Engineer @Rooit Inc. (XO App)
2023 ~ 2023
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
一個月內
邱義塵 於獨角獸多媒體設計有限公司擔任 遊戲測試工程師一職 建立公司測試團隊的測試流程和撰寫自動化測試程式 SDET、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 城市,TW [email protected] 工作經歷 獨角獸多媒體
Python
Data Analysis
Data Science
待业中
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
中國醫藥大學(China Medical University)
臨床醫學研究所
Avatar of Chun-Jung Huang.
Avatar of Chun-Jung Huang.
OPC Chief Engineer @TSMC
2020 ~ 现在
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
一個月內
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
就职中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
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
一個月內
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
就职中
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
國立成功大學 National Cheng Kung University
Mechanical Engineering
Avatar of 陳奕妤.
Avatar of 陳奕妤.
曾任
Senior Data Analyst @趨勢科技
2022 ~ 现在
Data Scientist, Data Analyst, Machine Learning Engineer
一個月內
customers by using statistical methods and machine learning methods. Developing automation regular reports, maintaining SQL store procedures, Tableau dashboards and Power BI dashboards. Cooperated with cross-functional team (Product, Marketing, Platform, PM, IT, Sales) to provide timely and accuracy business insight analysis. Developing automated web crawler on MMA website to collect ETF, fund, bond information. Skill : Microsoft SQL Server · Microsoft Power BI · Data Cubes · R · Python · Tableau · Web Crawling · machine learning · IMPALA · HIVE · Git · Docker Data Analyst • Catchplay AprOct 2020 Indonesia OTT customer profile analysis - Collecting, analyzing and evaluating data and campaign performa...
python
R
SQL
待业中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
輔仁大學 Fu Jen Catholic University
統計資訊學系
Avatar of 江易倫.
Avatar of 江易倫.
曾任
Career transition @Career Break
2024 ~ 2024
NLP Engineer / Data Scientist / Machine Learning Engineer
一個月內
江易倫 Data Scientist | Python | SQL | NLP | GenAI 具備5年以上程式撰寫能力,擅長Python、SQL與Linux 擅長資料清洗、分析與分類貼標 具有自然語言處理與研究經驗 大型語言模型LLM及生成式AI訓練與使用經驗 RAG技術使用與知識庫建立經驗 過往研究專案 中華電信智能標籤案
Python
SQL
NLP
待业中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
National Chengchi University
資訊科學系

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职场能力评价定义

专业技能
该领域中具备哪些专业能力(例如熟悉 SEO 操作,且会使用相关工具)。
问题解决能力
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团队合作能力
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专注于团队发展,有效引领团队采取行动,达成共同目标。
一年內
Logo of 博晶醫電股份有限公司.
博晶醫電股份有限公司
2023 ~ 2023
专业背景
目前状态
待业中
求职阶段
专业
软体工程师, 韧体工程师, 机器学习工程师
产业
人工智能 / 机器学习, 软件
工作年资
小於 1 年
管理经历
技能
Python
C++
Verilog
C
PyTorch
Machine Learning
Linux
Git
Deep Learning
Django
语言能力
English
中阶
求职偏好
希望获得的职位
Firmware Engineer, Software Engineer, AI Engineer
预期工作模式
全职
期望的工作地点
台灣台北, 台灣新北市, 台灣桃園
远端工作意愿
对远端工作有兴趣
接案服务
学历
学校
國立台灣大學
主修科系
生物機電所
列印

劉又瑋 YU-WEI LIU

Phone : 0952020607

Email : [email protected]

兵役 : 役畢 (2020.7)

Education  

National Central University, Electrical Engineering(2015.09 ~ 2019.07)

National Taiwan University, Biomechatronics Engineering (2020.09 ~ 2022.09)

Skill

Programming

  • Python
  • C
  • C ++
  • Verilog

Machine learning

  • Pytorch
  • Tensorflow
  • Keras

Backend and Database

  • Django
  • MySQL

Others

  • Git
  • Linux

Correlated curriculum 

Machine Learning, Deep Learning for Computer Vision, Data Structure and Algorithm, Operation System

Computer Organization, Digital Systems Design, Digital Signal processor

Digital Image Processing, Bioinformatics Algorithms, Biomedical Data Mining,

Work experience

Algorithm Engineer  •  Gomore

Feb 2023 - Jul 2023

  • Analyzing physiological signals(PPG) and implement physiological algorithms.
  • Using C language to implement to wearable devices.
  • Validation the modules in the group.

Database and Backend Engineer PT •  MISSMI INTELLIGENCE

Sep 2021 - Jan 2022

  • Bioinformatics data integration and presentation
  • Backend API developm to APP


Teaching Assistant •  National Taiwan University

Feb 2021 - Jul 2021

  • Electronics and Laboratory 
    • Integrate course information
    • Design electronic experiments, using oscilloscopes, power supplies, signal generators and Pspice to simulate various circuits
    • Homework problem solving, following class to solve classmates' problems

July 2021 - Sep 2021

  • Bioinformatics algorithm
    • Designed assignments related to bioinformatics information.
    • Integrate course information
    • Assist in classroom report submission content evaluation

:Thesis title:Using deep learning to predict T-cell receptors binding specificity

  • Using the Transfer learning and ProBert protein language model to predict pMHI-I binding of T-cell receptor.
  • Compared to existing paper, we have higher accuracy and faster inference.

Project Experience 

Python, Pytorch

Skull fracture detection ( Faster R-CNN ):

  • This project works with Inventec in Deep Learning for Computer Vision
  • Train a neural network to detect whether the patient has skull fractures and where they are by utilizing data annotated by physicians.
  • We used Faster R-CNN to implement object detection to predict where they are by utilizing data annotated by physicians.

Python, Django

Costco notice of goods

  • Design a crawler to notify the customer when the item in stock.
  • Using Django to build a Linebot


Web backend API Design 

Verilog

  • Single Cycle implementation


Other Projects

C++

  • Greedy snake design 

Verilog

  • Gobang in FPGA 
  • Single Cycle implementation

Python

  • Data structure algorithm implementation 
  • Image processing implementation

Pytorch

  • Image Classification ( CNN, Semi-Supervised learning, Self-Supervised learning, VIT, ACGAN )
  • Sequence to Sequence( Transformer, BERT )
  • Semantic segmentation ( FCN, U-net)
  • Face and Digit Generation ( SC-GAN)
  • Lunar Lander Game ( Reinforcement Learning )
  • Skull fracture detection ( Faster R-CNN )

Django

  • Web backend API Design 
  • Costco notice of goods

Linux

  • Simple shell script design and server administration 
简历
个人档案

劉又瑋 YU-WEI LIU

Phone : 0952020607

Email : [email protected]

兵役 : 役畢 (2020.7)

Education  

National Central University, Electrical Engineering(2015.09 ~ 2019.07)

National Taiwan University, Biomechatronics Engineering (2020.09 ~ 2022.09)

Skill

Programming

  • Python
  • C
  • C ++
  • Verilog

Machine learning

  • Pytorch
  • Tensorflow
  • Keras

Backend and Database

  • Django
  • MySQL

Others

  • Git
  • Linux

Correlated curriculum 

Machine Learning, Deep Learning for Computer Vision, Data Structure and Algorithm, Operation System

Computer Organization, Digital Systems Design, Digital Signal processor

Digital Image Processing, Bioinformatics Algorithms, Biomedical Data Mining,

Work experience

Algorithm Engineer  •  Gomore

Feb 2023 - Jul 2023

  • Analyzing physiological signals(PPG) and implement physiological algorithms.
  • Using C language to implement to wearable devices.
  • Validation the modules in the group.

Database and Backend Engineer PT •  MISSMI INTELLIGENCE

Sep 2021 - Jan 2022

  • Bioinformatics data integration and presentation
  • Backend API developm to APP


Teaching Assistant •  National Taiwan University

Feb 2021 - Jul 2021

  • Electronics and Laboratory 
    • Integrate course information
    • Design electronic experiments, using oscilloscopes, power supplies, signal generators and Pspice to simulate various circuits
    • Homework problem solving, following class to solve classmates' problems

July 2021 - Sep 2021

  • Bioinformatics algorithm
    • Designed assignments related to bioinformatics information.
    • Integrate course information
    • Assist in classroom report submission content evaluation

:Thesis title:Using deep learning to predict T-cell receptors binding specificity

  • Using the Transfer learning and ProBert protein language model to predict pMHI-I binding of T-cell receptor.
  • Compared to existing paper, we have higher accuracy and faster inference.

Project Experience 

Python, Pytorch

Skull fracture detection ( Faster R-CNN ):

  • This project works with Inventec in Deep Learning for Computer Vision
  • Train a neural network to detect whether the patient has skull fractures and where they are by utilizing data annotated by physicians.
  • We used Faster R-CNN to implement object detection to predict where they are by utilizing data annotated by physicians.

Python, Django

Costco notice of goods

  • Design a crawler to notify the customer when the item in stock.
  • Using Django to build a Linebot


Web backend API Design 

Verilog

  • Single Cycle implementation


Other Projects

C++

  • Greedy snake design 

Verilog

  • Gobang in FPGA 
  • Single Cycle implementation

Python

  • Data structure algorithm implementation 
  • Image processing implementation

Pytorch

  • Image Classification ( CNN, Semi-Supervised learning, Self-Supervised learning, VIT, ACGAN )
  • Sequence to Sequence( Transformer, BERT )
  • Semantic segmentation ( FCN, U-net)
  • Face and Digit Generation ( SC-GAN)
  • Lunar Lander Game ( Reinforcement Learning )
  • Skull fracture detection ( Faster R-CNN )

Django

  • Web backend API Design 
  • Costco notice of goods

Linux

  • Simple shell script design and server administration