Berlina Bai

Company background：

The company operates a web-based system for managing construction sites owned by dozens of partner companies. The system provides information management services to dozens of companies, including: statistics on the personnel structure, daily attendance, monitoring the operation of various facilities on construction sites, etc.

Personal contributions:

1. Participated in the development of a new micro-service management platform for canteen.

The platform realized several functions, including:

• Ingredient type and quantity management.
• Price reports for different sources of specific ingredients.
• Ingredient procurement.
• Daily number of meals.
• Canteen revenue reports.

For this task, I used the Spring Boot-based RuoYi system for rapid full-stack development. In this way, front-end and back-end design and development were Implemented simultaneously.

2. Daily tasks, such as

Assisted in the maintenance of the system, including:

• Debugging and optimizing back-end program (Java);
• Developing new features based on the needs of partner companies.

• GPA:3.778
• Relevant Coursework: Data Structure and Algorithm, Architecture and Principles of Internet, Principles of Database System, Big Data
  
• Relevant Project: Development of a web-based car rental system with MySQL database in a team of 3

• Learning Model Student Scholarship (for 4 year)
• Honoree of Honors program
• GPA: 3.52
• Research Project:

1. Carnegie Mellon University PBL Summer Research Seminar,

· Researched on the topics, such as speech recognition, models, data and so on;

· Write a paper on my own, which has been accepted by the 2nd International Symposium on Communication Engineering and Computer Science.

2. Nanyang Technological University AI Internship Program,

· Acquired the knowledge related to image processing and machine learning;

· Conducted team research tasks, wrote the class-ending report and published the paper;

· Graded with Distinction (91/100).

3. National University of Singapore AI and Machine Learning Programme,

· Attended the lectures about image processing and machine learning;

· Finished the team project and class-ending report.

• Thesis:

1.Pronunciation Tutor for Deaf Children based on ASR (CECE 2022)

2.Pneumonia Image Classification using EfficientNet with Focal Loss (ICITBE 2022)