Zavier Yang

I have a strong interest in the development and application of artificial intelligence and machine learning. Graduated from the University of Melbourne with a Master's degree in IT. Worked as a research assistant and teaching assistant for ML/AI related projects in different universities during my bachelor's degree, and participated in some competitions during my master's degree. Currently, I am working as an Intern Engineer at Intumit, and I would like to be exposed to work beyond ML / AI, such as front-end and back-end development.

  Taoyuan City, Taiwan

        

Education

Yuan Ze University

Bachelor of Electrical Engineering (Communication)  •  2016 - 2019

The University of Melbourne 

Master of Information Technology  •  2020 - 2021


Working Experience

Research Assistant

Cooperation with China Steel Corporation •  2018-2019

Collaborated closely with the relative department in China Steel Corporation. Developed AI models for steel surface defect detection. I participated in two types of steel surface projects. Finally, this project was published at the AHFE conference.

My Responsibility 

  • One of the main people in charge of the project.
  • Data manipulation and issue reporting
  • Model research, designing, training and evaluation
  • Issue raising and discussion, information sharing, and problem solving
  • Weekly reporting to mentor
  • Project closure report writing and editing.

Related Technical skills and Knowledge 

  • Python
  • Keras and Tensorflow
  • Machine / Deep Learning
  • Computer Vision

Capstone Project Member

Cooperation with ARPANSA  •  08/2021-11/2021

During the final semester, I collaborated with an agile team to create an application for ARPANSA to store calibration data and conduct the data analysis to produce the certification in a PDF file. At the end of the subject, our subject supervisor was very satisfied with our performance, and our client was very satisfied with our product.

My Responsibility

  • Scrum Master: progress managing and monitoring, time scheduling, meetings arrangement and tasks assignment.
  • Data extraction, manipulation, and visualization
  • Issue raising and discussion, information sharing, and problem solving

Relevant technical skills and knowledge

  • Python: especially Pandas
  • Github and Git
  • Agile SDLC

Intern Engineer

INTUMIT  •  07/2021 - Present

During the internship, I was mainly responsible for adding document recommendation features to my company's product. Therefore, I was primarily responsible for the development of the file recommendation algorithm and API. In addition, I helped other groups, such as implementing a small application and conducting stress testing. 

My Responsibility

  • Developed document recommendation and API independently
  • Data extraction, manipulation
  • Stress testing and other support
  • Solving problems independently
  • Explanation of my algorithm to team members
  • Issue raising and discussion, information sharing, and problem solving
  • Tasks prioritization

Relevant technical skills and knowledge

  • Python: especially Pandas and Flask
  • JAVA
  • scikit-learn
  • Github and Git
  • Jmeter
  • Natural Language Processing

The University of Melbourne Project Contest


Introduce to Machine Learning Kaggle competition – Music Genre Classification. 

  • Using supervised learning algorithm to train lyrics and audio features to predict music genre. 
  • Total participants: 306. Public result – Top 8%, Private result – Top 26%
  • Detail information: Music Genre Classification

Relevant technical skills and knowledge

  • Python
  • Keras and scikit-learn
  • Machine / Deep Learning

Natural Language Processing Codalab competition – Twitter Rumor detection. 

  • Using a supervised learning model to train whether Twitter articles are rumors. The model I used is BERT. This competition is still in progress.
  • Total participants: 306. Public result – Top 8%, Private result – Top 26%
  • Detail information: Rumor Detection on Twitter

Relevant technical skills and knowledge

  • Python
  • Pytorch and scikit-learn
  • Machine / Deep Learning
  • Natural Language Processing

Others

Certificate


  • AWS Certified Cloud Practitioner
    • J7BKK54BB2E119G5

Overall Skills


  • Python
  • Keras and Tensorflow
  • Pytorch
  • scikit-learn
  • Github and Git
  • JAVA
  • Jmeter

Overall Knowledge


  • Machine Learning
  • Depp Learning
  • Natural Language Processing
  • Computer Vision
  • Agile SDLC

Soft skills


  • Strong self-management
  • Working and solving problem Independently
  • Able to collaborate with an agile team
  • Enthusiastic to help others
  • Keen to learn unfamiliar technologies
  • Always ready to acquire new technologies

Language


  • English
  • Chinese