Jaeyoung Shin

Turning AI possibilities into real-world products

About Me

AI/Product Engineer at KAIST with a passion for building intelligent systems. I specialize in Computer Vision, Reinforcement Learning, and LLM applications, turning cutting-edge research into production-ready solutions.

KAIST
University
4.1/4.3
GPA
10M Won
Research Grant
Top 5%
Competitions

Skills & Technologies

Tools and technologies I work with to build intelligent systems.

AI/ML

PyTorch
Computer Vision
Reinforcement Learning
LLMs
RAG
NLP

Backend

Python
FastAPI
Docker
Google Cloud

Tools

WandB
Git
Unity ML-Agents
Arduino

Other

Java
C#
JavaScript
React

My Work

A collection of projects spanning research, production systems, and competition victories. Click on any project to learn more.

HackathonNov 2025
Channel Talk AI Assistant
Most Recent Hackathon Project

AI-powered customer service automation for Channel Talk platform

PythonLLMAPI IntegrationAutomation
HackathonJuly 2024
Smart Email RAG
2nd Place | 10M Won Grant

RAG-based email query system with natural language retrieval

LLMRAGFastAPIGPT
HackathonAug 2024
AISK - Voice Mobile Kiosk
Finals (<8th place)

End-to-end voice order service for elderly users

LLMVoice AIUXAccessibility
ResearchAug 2021 - Dec 2022
Brain-Inspired AI Navigation
Research Publication Verification

Reproduced Nature paper on grid-like representations in AI agents

RLUnity MLNeuroscienceGrid Cells
ProductionSep 2023 - July 2024
F&B Franchise Location Recommendation
Industry Partnership

AI-based recommendation service for franchise tenant locations

MLGISWebProduction
ProductionJan - Feb 2023
FICV - Fish Market Fraud Detection
Full ML Pipeline

End-to-end ML service with CI/CD and continuous learning

MLOpsCI/CDGCPComputer Vision
CompetitionJuly - Aug 2023
Smart Inspection for Vision
8th in Qualifying Round

Object detection for logistics quality inspection

Computer VisionObject DetectionSKU110K
CompetitionDec 2022
Data Augmentation for OCR
Public 2nd, Private 4th

Data-centric AI approach for OCR improvement

OCRData-Centric AIICDAR
CompetitionNov - Dec 2022
Recycling Item Classification
Public/Private 5th

Object detection with advanced ensemble techniques

Object DetectionWBFK-FoldEnsemble
ResearchApr - Aug 2023
RL Paper Review Collection
2+ Stars | Educational Resource

Comprehensive reinforcement learning paper reviews and implementations

Reinforcement LearningResearchDeep LearningPaper Review

Experience & Education

My journey in AI and software engineering.

Aug 2023 - Expected June 2027

B.S. in School of Computing

Korea Advanced Institute of Science and Technology (KAIST)

Daejeon, South Korea

Undergraduate student in Computer Science

  • GPA: 4.1/4.3 (2 Semesters)
  • Freshman Dean's List Fall 2023
  • Include (AI Academic Club) Vice President
  • GDSC (Google Developer Student Clubs) Member
Sep 2022 - Feb 2023

Computer Vision Track Trainee

NAVER Boostcamp AI Tech

Seoul, South Korea

5-month intensive AI/ML training program

  • Full-time study exploring Computer Vision history and trends
  • Multiple competitions: classification, detection, segmentation, OCR
  • ML Cycle and collaboration tools for End-to-End ML services
  • 800+ hours of intensive training
Aug 2021 - Dec 2022

Research Assistant Intern

Computational Motor Neuroscience Lab, Hanyang University

Seoul, South Korea

Research under Prof. Sungshin Kim on brain-inspired AI

  • Navigation experiments with Unity ML Agent
  • Reproduced Nature paper on grid-like representations
  • Built 3D drone simulation for fMRI studies
Mar 2023 - June 2023

Artificial Intelligence Undergraduate

Yonsei University

Seoul, South Korea

Initial undergraduate studies in AI

  • Foundation in Artificial Intelligence curriculum

Get In Touch

I'm always open to discussing new projects, research collaborations, or opportunities. Feel free to reach out!