Introduction

About

Profile

Yeongjin Yu | Junior AI research scientist
South Korea 🇰🇷
yjyuwisely@gmail.com
As a junior AI research scientist, I am deeply passionate about computer vision and continuously seek to embrace and master new innovations.😊

Hello! I'm Yeongjin Yu, an AI research scientist specializing in computer vision and driven by a passion for harnessing technology's potential for meaningful change. With a solid foundation in mathematics and statistics, I am driven to explore how AI can revolutionize our interaction with the visual world. My goal extends beyond mastering technology; I aspire to wield AI as a tool for impactful societal advancements. My focus lies in developing AI-powered visual systems that are not only technically proficient but also ethically sound and socially beneficial. I aim to contribute to computer vision applications that enhance user experiences and provide meaningful solutions to real-world problems. With my commitment to ethical AI and a passion for making a meaningful impact, this portfolio is a showcase of my journey and projects in AI.

Education

Education

  • UOW University of Wollongong (UOW) | Graduate Diploma in Mathematical Studies

    My studies at UOW focused on advanced statistical theories, artificial intelligence, numerical analysis, and linear algebra. The coursework covered a wide range of subjects, including Data Mining and Knowledge Discovery, Statistical Inference, Linear and Generalised Linear Models, Probability, Research Methods, and Financial Calculus, providing a comprehensive foundation in statistical theories and AI. I undertook an extensive research project using R programming to analyze satellite big data. This culminated in my thesis, "Bayesian Identifiability with Application to CO₂ Flux Inversion," where I used Bayes’ theorem, hierarchical models, and Kullback-Leibler divergence to estimate CO₂ fluxes. These academic pursuits highlighted the importance of advanced statistics and analytical techniques in AI.

  • UWA University of Western Australia (UWA) | Bachelor of Science in Quantitative Methods

    I majored in Quantitative Methods, gaining a solid foundation in the theoretical and practical aspects of data analysis crucial for AI. My proficiency grew in R for data processing and visualization, and I expanded my skills with Python and Java through elective courses. The curriculum included mathematical subjects such as Calculus, reinforcing my understanding of essential mathematical concepts for AI algorithms. In a significant research project, my thesis "Determining Factors Affecting First-Time Peripheral Intravenous Cannulation Success in the Emergency Department" utilized advanced statistical techniques, such as logistic regression and ROC Curve analysis, to explore real-world healthcare challenges.

Continuing Education & Training

  • UlsanGreenComputerAcademy Ulsan Green Computer Academy | [K-Digital Training] IoT-Based Smart Healthcare Web Service Development Bootcamp

    This intensive bootcamp significantly deepened my understanding of key frontend and backend technologies, as detailed in the Skills section of my portfolio. Its hands-on curriculum emphasized practical application, which bolstered my skills in teamwork and problem-solving. The program also developed my capabilities in project management, communication, and creative thinking, proving instrumental in laying a solid foundation for my career as an AI research scientist.

Skills

Machine Learning & AI
Python, R (Used for data analysis and visualization)
Frontend
JavaScript, Bootstrap, CSS3, HTML5
Backend
Spring, Java, JSP, MySQL
Version Control
GitHub
Visual Design and Communication
Figma (UI Design), Canva (Presentation Design)
Team Communications
Notion

AI Research Project List

Upcoming exciting AI projects will be showcased here.

AI Development Project List

MovieSense: Empowering Movie Reviews with AI

Oct 2023 (Individual project)

nlpProject1_1 nlpProject1_2

In this project, I aimed to practice and deepen my understanding of NLP (Natural Language Processing) techniques. MovieSense is an advanced NLP-driven tool designed to analyze the sentiments of movie reviews. It offers concise summaries and facilitates understanding across languages by translating reviews from English to French. Utilizing cutting-edge algorithms and models, MovieSense is crafted to enrich users’ engagement with movie critiques.

Key Features:
  • Sentiment Analysis: Employs the Naive Bayes Classifier to determine whether movie reviews are positive or negative, using datasets from Rotten Tomatoes.
  • Dynamic Summarisation: Incorporates Facebook's BART model to distill lengthy reviews into short, comprehensible summaries.
  • Translation: Enables a broader audience reach by seamlessly translating reviews from English to French using the Helsinki-NLP model.

    • GitHub 🇺🇸
    https://github.com/yjyuwisely/MovieSense_NLP

    Primary Language
    Python
    NLP Techniques & Models
  • Sentiment Analysis: Naive Bayes Classifier using NLTK
  • Summarisation: BART (Hugging Face's Transformers)
  • Translation: Helsinki-NLP's model (Hugging Face's Transformers)
    • Frameworks/Libraries
    NLTK, Transformers (Hugging Face), Flask (Backend Development)
    Frontend
    Vanilla JavaScript, Bootstrap, CSS3, HTML5

    Web Project List (2023)

    The projects below, consisting of three team projects and two individual projects, were completed during my time at the Healthcare Web Service Development Bootcamp in South Korea from December 2022 to July 2023. This bootcamp is part of the K-Digital Training initiative, a recognized national program focused on tech education and skills development.

    To show the web projects, please click the button below.

    Blog & Github

    Blog
    yjyuwisely.tistory.com
     I created this blog to store and share what I've learned. It features various sections, including:

    github-mark Github_Logo
    github.com/yjyuwisely
     This is the repository for project source codes.

    • Individual project source code
    • Team project source code
    • Portfolio website source code

    Awards

    'MO BAO AWARD'

    Outstanding Performance in the Field
    International Studio of Art and Culture

    I participated in the International Studio of Art and Culture program in Bali, Indonesia, as part of the architecture and design department during my undergraduate studies. Through this experience, I immersed myself in the local culture, learning about the region's artistic traditions and refining my skills in photography and painting. I was honored to receive the prestigious MO BAO AWARD, which is presented to the most exceptional student making a positive impact on fellow students. Interestingly, I received this recognition even though my major wasn't in design, which surprised the professors. Reflecting on this achievement, I recall how my curiosity led me to explore new challenges, fostering a passionate and proactive approach to learning and applying new technologies. The MO BAO AWARD represents not only my dedication to pursuing excellence but also underscores how diverse experiences drive personal and professional growth.

    © 2023 Yeongjin's portfolio. All Rights Reserved.