Yu-Huan Liu(劉宇桓)

Birth:1998/10/31

Cell:+886-975-158-631

Email: ray123456789123456@gmail.com

Line ID: vincent56baby

 No. 14, Aly. 8, Ln. 737, Sec. 1, Neihu Rd., Neihu Dist., Taipei City 114007, Taiwan (R.O.C.)

I was born in 1998 and grew up in Hsinchu. I have an outgoing personality, excellent communication skills, and a strong sense of responsibility, always putting work as my top priority.During my master's career, I have served as a teacher assistant for many courses, and students often come to me with questions after class. Especially in programming courses, I often point out where students have made mistakes and explain the logic behind the program to them. During my graduate studies, I focused on research in the field of computer vision and applied deep learning algorithms to object detection. At the same time, I also worked to optimize the architecture of neural networks to improve accuracy. 

My master's thesis was titled "YOLOv4-Based Fire Detection". 

These experiences and knowledge have taught me the importance of communication and a sense of responsibility in the workplace. I believe that my abilities and enthusiasm can bring valuable contributions to the company, and I will approach any challenge with a positive attitude. 

       

SKILLS

Programming


C/C++, Java, Python

Frontend


HTML, CSS, JavaScript, Spring

Mobile


Android Studio

Database


MySQL, MS SQL

Language


Chinese, English

EXPERIENCE

Java Developer

Office of Research and Development - Fu Jen Catholic University

Sep. 2023 -Present
Taipei, Taiwan

•Developing and maintaining WBS(Wholesale Banking System) based on user requirements
•Using Control-M to manage scheduling of batch jobs and process at specific times or based on triggers and dependencies
•Developing and maintaining RDL report using MS SQL Server
•Assisting user to figure out the problems in the official environment

Teaching Assistant

Fu Jen Catholic University

Sep. 2021 - Jun. 2023
New Taipei, Taiwan

2021/09-2022/01    Linear Algebra/Python Programming
2022/02-2022/06    Engineering Mathematics 
2022/09-2023/01    Java programming/Linear Algebra /Formal                                          Language
2023/02-2023/06    Engineering Mathematics/Implementation                                            of Digital Systems/NLTK and Google Colab

SELF-LEARNING

Hahow

Java 工程師必備!Spring Boot 零基礎入門

Certification : https://hahow.in/certificates/659d5591b862429dabaf6ae4

Project: https://github.com/yu6huan/spring-mall

Udemy

Train YOLO for Object Detection with Custom Data

Certification: https://www.udemy.com/certificate/UC-07efbfa7-d2f9-4a45-9a63-7ae54a122b71/

PROJECT

This project uses Android Studio as the frontend interface design and MySQL to manage the database. The data source is obtained by web scraping about 100,000 pieces of data from job postings on the 104 and 1111 websites. PHP scripts are then used to connect to the database, execute the SQL queries we have written, and return the data. Users can enter search criteria on the app interface, and when they click the "search" button, the app will output job postings that meet the specified criteria. 

OPEN-SOURCE PROJECT

https://github.com/yu6huan/YOLOv4-darknet  (Owner)

Fire-Detection Based on Improved YOLOv4 Algorithm


[Python]

Jun. 2022 - May. 2023

https://github.com/yu6huan/spring-mall (Owner)

Implementation of E-commerce Website Function 

[Java]

Dec. 2023 - Mar. 2024

https://github.com/yu6huan/opencv (Owner)

Object detection and front camera of laptop to implement the project of virtual pen

 

[Python]

Apr. 2024

EDUCATION


Fu Jen Catholic University                                                                                           Taipei, Taiwan

Bachelor of Science in Computer Science                                                                                    Sep. 2021 - Jun. 2023

Overall GPA: 3.7/4.0

Reaserch Topic: Object-Detection

Fu Jen Catholic University                                                                                          Taipei, Taiwan

Master of Science in Computer Science                                                                                       Sep. 2017 - Jun. 2021