Hello, I'm Taeyun, an AI Researcher passionate about building reliable and efficient AI systems. My primary interests lie in Large Language Models (LLM), with a special focus on Information Retrieval and Efficient LLM Inference.
- 1st Place in Korea University Capstone Design: Developed NEWSQRAB, an AI-powered service that automatically generates short-form news videos using Retrieval-Augmented Generation (RAG)-based LLMs.
- 2nd Place at Korea University NEXT Software Competition: Contributed as an AI Engineer for the NEWSQRAB project.
- 3rd Place at the 2024 KIISE Conference (Undergraduate Category): Awarded for the paper titled 'Analysis on Research for Data and Resource Heterogeneity in Split-Federated Learning'.
- 2nd Place in 2023 Korea University Hackathon: Developed a mobile app to predict and recommend less crowded areas in Han River parks.
- 🔭 I developed the blind dating app "Blurting" as a Frontend Developer. The app successfully ranked 73rd in the App Store's Social Networking Category in Korea.
- Aigensciences: Researching LLM agents and machine learning algorithms for biomedical drug discovery.
- Xalute: Collaborated with Korea University Anam Hospital to develop a digital healthcare mobile application that interfaces with wearable devices, enabling real-time health tracking and intelligent alerts.
- Kakao Pediatric Response Chatbot: Co-developed a pediatric Q&A chatbot with Kakao Healthcare and Korea University Anam Hospital, utilizing large language models to provide real-time healthcare information to parents.
- Korea University (2022 - Present)
- Bachelor of Science in Computer Science and Engineering.
- Incoming Master Student from March 2026.
