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
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 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, LLM, Multimodal Learning, Deep Learning, Computer Vision, Natural Language Processing
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
AI Financial Expert Consultation
Multi-persona AI consultation service with financial experts (Currently in development)
- • Multiple financial expert personas: Banker, Securities Analyst, Insurance Specialist, Asset Manager, Accountant, Tax Advisor
- • Utilizes diverse data sources: News, Public Data, SNS, Research Reports
- • Provides multi-perspective analysis for rational financial decision-making
- • Multi-agent system generating expert-specific responses and insights
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
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross Girshick (2020)
비지도 학습을 위한 대조학습 기반 시각적 표현 학습 방법으로, momentum encoder와 queue 기반 메모리 뱅크를 활용하여 효과적인 representation learning을 구현
STORM: Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking
Yijia Shao, Yucheng Jiang, Theodore A. Kanell, Peter Xu, Omar Khattab, Monica S. Lam (2024)
LLM과 검색 기반 리서치, 대화 시뮬레이션을 결합하여 위키 수준의 아웃라인 생성 pre-writing 작업을 자동화하는 시스템을 제안
Ongoing Research
음성 기반 얼굴 분류 시스템 개발: 대조학습 모델 개발
진행중 (2025.03 - 현재)
VoxCeleb 데이터셋을 활용한 음성-얼굴 매핑 시스템 개발 및 성능 최적화
STORM 기반 다중 전문가 AI 금융 컨설테이션 시스템: 멀티-에이전트 아키텍처를 통한 금융 의사결정 지원
진행중 (2025.07 - 현재)
STORM 논문의 검색 기반 리서치와 멀티-퍼스펙티브 질의응답 기법을 금융 분야에 확장 적용하여, 다양한 금융 전문가 페르소나를 가진 AI 에이전트 시스템을 개발하고 있습니다. 이 연구는 금융 의사결정 과정에서 다각적 분석과 전문가별 관점을 통합하는 새로운 접근법을 제시하며, 실제 금융 서비스에 적용 가능한 멀티-에이전트 아키텍처의 효과성을 검증하는 것을 목표로 합니다.
MAP3K5 IC50 활성값 예측을 위한 분자 구조 기반 머신러닝 모델 연구
진행중 (2025.07 - 현재)
PubChem, ChEMBL, CAS 등에서 수집한 실험 기반 화합물 정보를 활용하여 분자 구조와 약물 활성 간의 관계를 학습하는 머신러닝 모델을 개발하고 있습니다. 127종 화합물의 구조 정보를 입력값으로 사용하여 해당 화합물들의 ASK1(MAP3K5)에 대한 IC50 값을 예측하는 모델을 구축하여 신약 개발 과정에서의 약물 활성 예측 정확도를 향상시키는 것을 목표로 합니다.
Completed Research
약하게 페어링된 환경에서의 멀티모달 연상 메모리:정보이론 기반 분석 프레임워크와 효율적 학습 전략연구
완료 (2025.06)
정보 이론적 관점에서의 BMA-Memory 모델 분석 및 개선
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.