JONG HYUN LEE
Developer
Contact Info
devjh@yonei.ac.kr
01066001566
I am a full-stack developer with a growing interest in AI and machine learning. I am actively learning and exploring various aspects of artificial intelligence, from computer vision to natural language processing. My goal is to combine my strong development background with emerging AI technologies to create practical, user-centric solutions. I am particularly interested in understanding how AI can be effectively integrated into real-world applications to solve meaningful problems.
Education
Bachelor of Science in Computer Engineering
Master's in Artificial Intelligence (In Progress) at Yonsei University
Experience
Web Game Platform
Began my career as a web game platform developer, building and managing core infrastructure for high-traffic online gaming services. In this role:
- Developed scalable solutions to handle large user bases and peak traffic demands.
- Focused on delivering a stable and responsive user experience for dynamic, fast-paced gaming environments.
Settlement Platform
Developed an advanced settlement platform focused on reconciling and calculating settlements for products and coupons. Built with Spring and Java, this platform:
- Addressed complex financial workflows, optimizing accuracy and efficiency in the settlement process.
- Enhanced system stability and scalability, supporting high-volume transaction processing
Education Platform
Contributed to several backend projects using SAP and the Spring Framework. These projects included:
- SAP-based Finance, Budget, and Procurement Systems: Developed robust financial and procurement modules that seamlessly integrated with institutional workflows.
- Backend Development for an Education Platform: Utilized the Spring Framework to build scalable backend solutions for various service applications, improving both accessibility and efficiency.
Key Strengths
Full-Stack Development Expertise
Demonstrate comprehensive full-stack development capabilities using diverse languages (TypeScript, Ruby, Python, Java) and modern frameworks (React, Next.js, Rails, Spring). Proven track record in delivering scalable and maintainable applications with end-to-end technical stack including mobile development.
AI & Machine Learning Enthusiast
Actively learning and exploring AI technologies including PyTorch and LLMs. Currently focusing on understanding fundamental concepts in computer vision and natural language processing through academic research and practical projects.
Innovative Project Leadership
Successfully led innovative projects including Chatki, Prompt Genie, and Travel Writer. Proven track record as a technical leader with strong project management skills and team collaboration capabilities, effectively addressing complex technical challenges.
Continuous Learning & Growth
Maintain active engagement in AI research at Yonsei University while continuously expanding technical expertise through diverse projects. Demonstrate strong adaptability in learning and implementing new technologies.
Technical Stack
languages
TypeScript, Ruby, PHP, Java, JavaScript, Python, Kotlin, ABAP, Scala
frontend
React, Next.js, Tailwind/Bootstrap, Zustand, MST, MobX
mobile
React Native, Flutter
backend
Ruby on Rails, Node.js, Spring, Nest.js, FastAPI, Spring boot, JPA, Mybatis, QueryDSL, MSA, sqlalchemy, alembic
databases
MySQL, PostgreSQL, Oracle, NoSQL, Redis, Dynamo DB, Tibero, Turso, SQLite, Supabase, Firebase, RDS
devOps
AWS, Naver Cloud, GCP, Docker, Kubernetes, Vercel, Circle CI, GitHub Actions, Terraform, ElasticSearch, Flyio
AI
PyTorch (Learning), LLM (Learning), Multimodal Learning (Learning), Deep Learning (Learning), Computer Vision (Learning), Natural Language Processing (Learning)
IDE
IntelliJ, RubyMine, Pycharm, Webstorm, Vim, VSCode, Eclipse
collaboration
Notion, Slack, Discord, Redmine, Jira
Notable Projects
Web Game for DoubleU Games
Developed and localized a web game for the Taiwan market
- • Complete backend and frontend development for high-traffic gaming
- • Built using Ruby on Rails and React with cultural localization
- • Enhanced user engagement and satisfaction
- • Successfully deployed and operated in Taiwan market
Chatki
Chatbot service for automating Q&A interactions
- • Led development team of experienced engineers as Tech Lead
- • Scalable infrastructure using Nest.js and AWS
- • Slack integration for automated responses
- • ElasticSearch for optimized data retrieval
- • Successfully managed cross-functional team collaboration
Prompt Genie
ChatGPT Korean translation Chrome extension
- • Complete self-development in 2 days
- • 3x faster response times
- • Keyboard-only mode
- • 300,000+ downloads
Travel Writer
AI-powered travel planning extension
- • Complete self-development from scratch
- • Primer Hackathon Finalist
- • Custom itinerary generation
- • LangChain and YouTube API integration
- • RAG implementation
Korean Stock Auto-Trading Site
Automated trading platform for Korean stock market
- • Custom trading algorithms
- • Real-time data processing
- • Financial data integration using DART API
Donghwa Book
Mobile eBook application
- • Complete self-development
- • State management with MST
SlowSide
Meditation app with VR features
- • Complete self-development from scratch
- • iOS/Android support with Rails backend
- • AWS media converter integration
- • VR elements implementation
Snap2HTML
AI-powered code generation from images
- • Automatic HTML/React markup generation
- • Chrome extension (2025 release)
- • AI-powered visual element processing
Yonsei Legacy Donation Project
Yonsei University's legacy donation platform
- • Complete self-development from scratch
- • Developed donation management system for Yonsei University
- • Integrated donor benefits and tax deduction features
- • Built memorial service management system
KnowShopping
No-show shopping aggregator
- • Independently developed most of the core features including payment, authentication, and product management at wecommit.ai
- • Created three separate projects: ns_mobile (React Native), ns_web (Next.js), and ns_ai (FastAPI)
- • No-show shopping aggregation
Paper Reviews
FYI: Flip Your Images for Dataset Distillation
Byunggwan Son , Youngmin Oh ,Donghyeon Baek , and Bumsub Ham (2024)
데이터셋 증류 과정에서 이미지 좌우 반전 기법을 활용하여 원본 이미지의 풍부한 의미 정보를 보존하는 FYI라는 간단하면서도 효과적인 기술을 제안
Face-StyleSpeech: Enhancing Zero-shot Speech Synthesis from Face Images with Improved Face-to-Speech Mapping
Minki Kang, Wooseok Han, Eunho Yang (2024)
얼굴 이미지로부터 음성을 합성하는 제로샷 음성 합성 기술을 개선한 연구로, 얼굴-음성 매핑의 품질을 향상시키는 새로운 접근 방식을 제안
Ongoing Research
약하게 페어링된 환경에서의 멀티모달 연상 메모리:정보이론 기반 분석 프레임워크와 효율적 학습 전략연구
진행중 (2025.06 - 현재)
정보 이론적 관점에서의 BMA-Memory 모델 분석 및 개선
음성 기반 얼굴 분류 시스템 개발: SF2F 프레임워크 활용
진행중 (2025.03 - 현재)
VoxCeleb 데이터셋을 활용한 음성-얼굴 매핑 시스템 개발 및 성능 최적화
I strive not to remain rooted in the present but to push forward, working toward a better, more inspired future. My aim is to continuously make meaningful contributions that extend beyond the present moment and create lasting positive change. Through dedication to innovation and continuous learning, I seek to build solutions that make a real difference in people's lives.