蔡亞倫

  Kaohsiung City, Taiwan      

Mail: [email protected]                      Phone: 0975082792

I am passionate about web technology and have taken database courses for my bachelor's and master's programs.


Education

2016 - 2020

National University of Tainan

Computer Science

2020 - 2022

National Cheng Kung University(肄業)

Electrical Engineering

Skills

Web


  • Node.js Express.js
  • MySQL、MongoDB
  • Redis
  • Python、Javascript
  • Git、Docker、CI、CD
  • WebSocket

DeepLearning


  • Framework 
    • Pytorch
    • Keras
  • Experience 
    • Building an AI model in medical projects
    • Proposed an unsupervised domain adaptation model
    • Training the model and fine-tuning hyper-parameters

Language


  • TOEIC — 740

Projects

Social Media Web App 

2022年1月 - now 

This project is an app that is made by imitating social media,  "Dcard"

  • Use Node.js and express.js as a Backend
  • Use pug css JavaScript and boostrap as Frontend
  • Use MongoDB and its ODM Mongoose as a database
  • Use Redis to cache data to achieve faster search speeds
  • Use jwt to implement authentication
  • Use index and compound index to speed up searching
  • Dockerized the app
  • Deploy this app to Heroku

ERP System

4月 2020 - 8月 2020

  • Interviewed a steel mill in Pingtung and identified the requirements to improve the non-automated defects of the company's processes.
  • Complete customer requirement analysis, and complete system analysis (System function flow, System data flow)
  • Design of conceptual model E-R MODEL
  • Database form design and formalization
  • Physical design of database forms

Unsupervised Domain Adaptation for Instance Segmentation 

2021年10月 - now 

Proposed an unsupervised Domain adaptation architecture to address the problem that a large amount of accurate annotation data is needed, every time a new domain's training data comes in. 

Predicting and Analyzing medical data with NLP 

2020年9月 - 2020年12月 

Process and analyze the original data, and then apply NLP techniques to NER tasks

  • Dataset processing, data cleaning, role unification, text full shape to half shape... 
  • Word Embedding
  • Training the NER model - Bi LSTM
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