Projects

Healthcare & Medical AI

AI Research at St. Vincent’s Hospital

Sep 2024 — Present

Working with medical data to develop machine learning models for healthcare applications:

• Implementing ML algorithms for healthcare protocols
• Feature engineering for patient data using advanced techniques
• Handling imbalanced medical datasets with methods like Tomek-links
• Using XGBoost with specialized hyperparameter tuning

LLM-based Recommendation System (iKooB)

Jul 2024 — Jan 2025

A research project for healthcare recommendation systems:

• Utilized transfer learning techniques with LLMs and Graph Attention Networks
• Implemented a healthcare recommendation system using a fine-tuned Llama-3 8B model
• Developed with vllm, langchain, ngrok, and flask
• Award: Engineering Innovation Award from SungKyunKwan University

Finance & Data Analytics

20th Korean Economic Securities Derivatives Competition

Jul 2024 — Feb 2025

A competitive project focused on designing ETFs for IPO stocks:

• 2nd Place in a national competition
• Used Gaussian-Mixture-Model and t-SNE for data analysis
• Implemented portfolio optimization using convex optimization methods
• Award: Korea Exchange Chairman’s Award

NH Investment & Securities Big Data Competition

Sep 2023 — Dec 2023

Designed a correlation analysis model between stocks (Fin2Vec):

• Built a Transformer-based architecture for financial analysis
• Used 1D-CNN and GRU for stock price data compression
• Implemented knowledge distillation via teacher-forcing
• Successfully reached the finals of the competition

Software Development

SNS Platform for College Students

Jun 2023 — Dec 2023

An entrepreneurial project developing a social networking platform:

• Developed with Flutter, AWS, and Next.js
• Led the project as Project Manager
• Handled frontend development
• Conducted user testing with college students

Global Capstone Design Project (AIIT & SKKU)

Dec 2023 — Jan 2024

An international collaboration proposing mobility cloud infrastructure:

• Worked with Tokyo AIIT University
• Developed solutions for the Full Self-Driving (FSD) era
• Created signaling system architecture for mobility applications
• Proposed integrated cloud and AI-based solutions

Machine Learning & AI Research

Undergraduate Research at iisLab

Jun 2024 — Aug 2024

Research experience under Prof. Ji-hyung Lee:

• Computer Vision and Natural Language Processing research
• Seminar presentations on Unsupervised Learning
• Studies on optimization methods for machine learning
• Research on Recurrent Neural Networks

Industry-Academia Collaboration (SOYNET)

Jun 2023 — Aug 2023

Applied AI optimization in an industry setting:

• Inference acceleration and model optimization
• Person Re-ID model optimization
• Implementation with PyTorch, CUDA, and C++
• Applied models to National Safety applications