I'm currently working as an LLM Engineer focusing on building private LLMs using SLM, developing Retrieval-Augmented Generation (RAG) logic, and creating various chatbot services primarily with LangChain.
Hyperlinks are links to more detailed information about a topic.
- Developed AI-powered solutions for industry-specific applications, integrating advanced natural language processing techniques and private LLMs.
- Created specialized chatbot services incorporating fine-tuned models, retrieval mechanisms, and custom embeddings for efficient information management.
- Designed domain-adapted AI systems for automation, knowledge retrieval, and data analysis to enhance operational workflows.
conference & journals | Date | Title | authors |
---|---|---|---|
The 15th International Conference on ICT Convergence(ICTC 2024) | 2024.08 | PixleepFlow: A Pixel-Based Lifelog Framework for Predicting Sleep Quality and Stress Level | Y. Na et al. (Equally contributed all authors) |
Expert System with Application(ESWA)(IF: 8.5) | 2023.10 | Harnessing Optical Flow in Deep Learning Framework for Cardiopulmonary Resuscitation Training | S. Ko et al. (correspond: Choung Ah Lee, Jong-Uk Hou) |
ํ๊ตญ์ ๋ณด๋ณดํธํํ (CISC-Wโ22) | 2022.11 | CAN ํ๋ ์ ๊ฐ๊ฒฉ ๊ธฐ๋ฐ ์นจ์ ํ์ง ๋ฐฉ๋ฒ๋ก | S. Ko et al. (correspond: Byung Il Kwak) |
ํ๊ตญ์ ๋ณด์ฒ๋ฆฌํํ (ACK 2022) | 2022.10 | ์ ๋ขฐํ ์ ์๋ ๋ฅ๋ฌ๋ ๊ธฐ๋ฐ ๋จ์ผ ์บ ์ข์ํํฉ ์ค์๊ฐ ํ์ง ์๋ฃจ์ | S. Ko et al. (correspond: Jong-Uk Hou) |
Award | Date | Task |
---|---|---|
๐ ๊ณผํ๊ธฐ์ ์ ๋ณดํต์ ๋ถ ์ฅ๊ด์(๋์) | 2024.10 | ์ 3ํ ETRI ํด๋จผ์ดํด ์ธ๊ณต์ง๋ฅ ๋ ผ๋ฌธ๊ฒฝ์ง๋ํ |
๐ ๊ณผํ๊ธฐ์ ์ ๋ณดํต์ ๋ถ ์ฅ๊ด์(๋์) | 6ํ๊ธฐ | ์ 9ํ ๋ํ๋ฏผ๊ตญ SW์ตํฉ ํด์ปคํค ๋ํ |
๐ฅ SW์ค์ฌ๋ํํ์ํ์ฅ์ | 7ํ๊ธฐ | SW์ค์ฌ๋ํ ๊ณต๋ AI ๊ฒฝ์ง๋ํ 2023 |
๐ SW์ค์ฌ๋ํํ์ํ์ฅ์ | 6ํ๊ธฐ | SW์ค์ฌ๋ํ ๊ณต๋ AI ๊ฒฝ์ง๋ํ 2022 |
๐ ์ฐ์๋ ผ๋ฌธ์ | 6ํ๊ธฐ | 2022 ์ ๋ณด๋ณดํธํํ ๋๊ณํ์ ๋ํ(CISC-Wโ22) |
๐ ์ฅ๋ ค์ | 6ํ๊ธฐ | ACK 2022 ํ๋ถ์ ๋ ผ๋ฌธ ๊ฒฝ์ง ๋ํ |
Competition | Subject | Task | Rank / Participants | Date |
---|---|---|---|---|
AI Factory | 3rd ETRI Human Understanding AI Paper Competition | Time-Series | 1st / 41 teams | 24/07 |
Dacon | 2023 SW-centered University AI Competition | Vision (Segmentation) | 6th / 201 teams | 23/08 |
Dacon | Wallpaper Defect Classification AI Competition | Vision (Classifier) | 41st / 1,025 teams | 23/05 |
Dacon | 4D Block Structure Extraction AI Competition | Vision (Segmentation) | 85th / 461 teams | 23/01 |
AI CONNECT | 2022 Defense AI Competition (General Division) | Vision (Segmentation) | 19th / 110 teams | 22/11 |
Dacon | 2022 SW-centered University AI Competition | Vision (OCR) | 5th / 77 teams | 22/10 |
Dacon | Autonomous Driving Sensor Antenna Performance Prediction AI Competition | Tabular | 226th / 975 teams | 22/08 |
Dacon (basic) | Airline Customer Satisfaction Prediction Competition | Tabular | 2nd / 615 people | 22/02 |
Dacon (basic) | Movie Review Sentiment Analysis Competition | NLP | 39th / 605 people | - |
Dacon (basic) | Penguin Weight Prediction Competition | Tabular | 26th / 725 people | 22/01 |