My Profile

Kim Jeong-won

M.S. Student, Computer Science and Engineering, Sungkyunkwan University  · INGLab

Interests: AI Agents ・ Society ・ World, Runtime AI for Games

Projects

Team

Shiba Games : Practical research and business planning on LLM-based NPC Agents
Team Leader | 2024.06 ~ 2025.02

  • A project for SPARK 14th
  • Explored runtime AI for game NPCs using LLM APIs — from research to startup planning

ShibaRPG — RPG system with interactive NPC conversations and actions
2024.11 ~ 2025.02

  • Built an RPG where players can converse, battle, and trade items with LLM-driven NPCs
  • Validated user immersion through open storytelling

ShibaMarket — Interactive commodity trading game with LLM-based agents
2024.06 ~ 2024.10

  • Designed and developed a trading game that utilizes LLM Agent's expressiveness and judgment for NPC interactions

RealBang : 3D room generation AI models and viewer based on Novel View Synthesis
Team Member | 2023.05 ~ 2024.01

  • A project for SPARK 11st and Co-Deep Learning
  • Compared the performance metrics of the available NeRF and 3D Gaussian Splatting models for room-scanned videos
  • Streamed the AI-rendered images from the server to a client viewer
  • Awarded 2nd place(최우수상) in the Co-Deep Learning Project, SKKU

Automated Summarization and Authoring Assistant for Product Review Data
Team Member | 2020.12 ~ 2021.02

  • Industry-University Coop Project with Goodmorning Information Technology
  • Finetuned KoGPT-2 on cosmetics review dataset crawled from various review sites, for review generation
  • Finetuned KoBART on DACON news summarization dataset, for review summarization

PreVentra : AI-detected Virus Infection Prevention System
Team Member | 2020.04 ~ 2020.12

  • Industry-University Coop Project with Goodmorning Information Technology
  • Set up the system for training and inferencing using YOLOv4 model
  • Processed real-time video streams and scheduled the conversion of recorded data into stats
  • Awarded 3rd place(우수상) in the 2020 Sol·Jik Challenge, Ministry of Science and ICT

Lecture Projects and Others

  • Speech Enhancement using AI and Improvement of its Baseline Performance, AI Project, SKKU, Spring 2024
  • CLab
    - Interactive Clab and Lab Search Service using RAG, Introduction to Software Engineering, SKKU, Spring 2024
  • Designing a Remote Couple Messanger <Dove>, Introduction to Human-Computer Interaction, SKKU, Spring 2024
  • SpaceSwim Game Development Project, Computer Graphics, SKKU, Spring 2021
  • PACMAN Game Development Project, Java Programming Lab, SKKU, Spring 2020

Personal

jazzy-dalpeng (working on progress)

  • Jazz Guitar practice helper
  • Integrates and syncs a canvas renderer and an audio player loop
  • Built using SvelteKit (w. Svelte5) and custom HTML5 Canvas library

dalpeng

  • Implements core system of game engine, including: Game loop, Component system, Linear algebra math library, Physically based rendering, Deferred rendering...
  • Designed modern-web-frontend-like scripting features
  • Built using WebGL2 and TypeScript

Research

Analyzing Character Relationship Shift Based on Action-Theory of Mind Trajectory
Jeong-won Kim, Teawoo You, Jong-hyun Lee, Yungyung Cheong
2025 한국소프트웨어종합학술대회 (KSC 2025)

Education & Work

Education

2025.09 ~ : Sungkyunkwan University, M.S. — INGLab

Major : Computer Science and Engineering

2019.03 ~ 2025.08 : Sungkyunkwan University, B.S.

Major : Computer Science and Engineering
Major GPA : 4.16 / 4.5

Participated Programs

  • Toy Project Supporting Program
  • Sungkyun SW Mentoring
  • Co-Deep Learning
  • SPARK 11st
  • Industry-University Cooperation

Clubs

  • Metaverse/XR Club MAV, joining as a committee member and a mentor, 2023 ~ 2024
  • Algorithm/Problem Solving Club NPC, joined as a committee member, 2020 ~ 2021
  • Classical Music Club Eumchiheon, 2019 ~ 2024

You can find my resources for personal study:

Work Experience

2023.07 ~ 2023.09: MUTI

  • Interned as an Android app developer
  • Developed an AR demo Android app, using Jetpack Compose and ArCore

2021.09 ~ 2023.04: ROK Air Force

  • Served in Air Force Intelligence Information Systems Management Group as a software developer (대한민국 공군 정보체계관리단 소프트웨어개발병)
  • Developed and managed multiple Air Force Intranet services, mainly using Spring, OracleDB, and Vue

Achievements and Certifications

Achievements

  • 2024.01: 2nd place(최우수상) in Co-Deep Learning Project, SKKU
  • 2020.12: 3rd place(우수상) in the 2020 Sol·Jik Challenge, Ministry of Science and ICT(과기부 주관 2020 솔·직 챌린지)

Scholarships

  • 2023 Fall: Co-Deep Learning

Certifications

  • 2024.08: 960 TOEIC score

Tech Skills

AI / LLM

  • Designed and built LLM-based NPC Agent systems using OpenAI API
  • Fine-tuned GPT-OSS-20B with Unsloth
  • Trained, deployed, and integrated various AI models: YOLO, KoGPT-2, KoBART, BERT, NeRF, 3D Gaussian Splatting

Web/App Client

  • Next.js (w. React), for many official web projects
  • Vue, while working on ROK Air Force
  • SvelteKit (w. Svelte), for many personal projects, including this page!
  • Jetpack Compose for Android
  • Unity for game development

Computer Graphics & XR

  • OpenGL & WebGL2
  • Android ArCore

Backend & DB

  • Spring, Express(Node.js), FastAPI
  • Oracle, MySQL, PostgreSQL