👤 About me**:**
- Hello! I am a third-year undergraduate student majoring in Computer Science at Seoul National University.
- [Finished Military Service] I completed my mandatory service as a communication soldier in the Army from March 2021 to September 2022.
- Received an honorable career award (performing duties as an interpreter at Incheon Airport during COVID-19)
- Currently, I am interested in artificial intelligence in field of computer vision.
🇺🇸 English - Native - TOEFL 114, OPIC AL
🇨🇳 Chinese -Advanced - HSK 6급, OPIC IH
🇰🇷 Korean - Native
Contact & Channel
💻 Work Experience & Projects
Through various participation projects utilizing different technologies and skills, I have learned a lot and was able to grow as a researcher. Below are some of the projects and experiences that I have participated in:
Undergraduate Research Opportunity Program (UROP) at Prof. Yoo
SNU, 관악 | 2023.09 ~
- During the second semester, I had the opportunity to deepen my understanding of both the theory and code of NeRF.
Summer Internship at MIPAL Prof. Kwak
SNU, 관악 | 2023.07- 09
- During my internship, I had the opportunity to read, analyze, and present research papers through weekly seminars with assistance.
- The [research paper reviews] I read are organized in the link.논문 리뷰
3D Reconstruction using NeRF
SNU, Computer Vision M1522.001000 | 2023.11
- Use the NeRF Synthetic dataset to restore the 3D shape of objects without color, using only the alpha channel from RGBA.
Edge Detection using Hough Transform/Canny Edge Detector
SNU, Computer Vision M1522.001000 | 2023.10
- Developing Hough Transform and Canny Edge Detector algorithms for edge detection in the field of computer vision.
- Class notes in the link Class Notes for AI
OUTTA AI Bootcamp
Team Project: text2image conversion using GAN
Outta | 2023.07- 09
- Artificial Intelligence education organization OUTTA, sponsored by Naver Cloud
- Successfully completed the course, also received an excellence award <bronze> in the team project.
Binary Classification using LSTM
KAIST, 대전 | 2023.03 - 06
- Through a capstone project with KAIST's startup 'Sherpa Space', we have successfully used machine learning to predict pineapple diseases with high accuracy.
- I have experience developing a binary classification model using LSTM (a different version of RNN) in TensorFlow.