Working in the AI Team at JINHAKSA, developing AI-powered solutions including talent-job matching systems for the CATCH platform

• Designed and built single-agent system for automated company domain data generation
• Optimized HR talent matching model performance through experimentation with scoring combinations for the Talent Pick service
• Refactored codebase improving maintainability and readability
• Developed AI-powered services using prompt engineering and closed-model APIs

Double Major in Library and Information Science and Applied Statistics

• Organized club activities and led a Flutter basics seminar

• 10-13th Cohort Member
• Joined NLP Paper and GNN research teams

• Led Flutter development team and participated in ML projects
• Participated in the Solution Challenge 2023 and advanced to the Top 10

• Completed the Recommender System Track

Engaged in a collaborative project between YAI and Linq, investigating the Effective Application of LLaMA2 in Information Retrieval: A Comparative Study with BERT and T5 Models

Developed an interactive search engine that generates real-time summaries of web documents to deliver query-specific responses to users

Participated in a competition to predict users' next movie selections based on the MovieLens dataset

Developed a mobile application for sound detection using Flutter framework