As a student researcher at Yonsei University and Chung-Ang University, I am passionate about bringing powerful and responsible intelligence to edge devices.

• Model Debiasing
  • LM debiasing
  • FL(Federated Learning) debiasing
• HCI (Human-Computer Interaction)
  • Extracting pioneering insights from the sensor data

CV - May 2024.pdf

: [email protected]

: @jlstdio

• 경북대학교 정보영재원 Advanced class student in KNU Computer Engineering Education Institute for Gifted 2014 Dec ~ 2015 Dec
• 대륜고등학교 Daeryun High School 2017 ~ 2019
• 홍익대학교 컴퓨터공학과 Computer Engineering in Hongik Univ 2021 ~ Present

• Undergraduate Intern @ EISlab@Yonsei Univ 2024 Feb ~ Present

  • Federated Learning
  • A Study on Artificial Intelligence Using Embedded Sensors and Computing Power. Especially human context-aware.

• Undergraduate Intern @ HCSlab@CAU 2022 Dec ~ Present

  • AI Modeling, Signal processing, and HW(3D modeling, Eagle CAD)
  • 보건복지부 과제 / Project in Ministry of Health and Welfare: 레이더 센서(RF-SCG)와 딥러닝 모델을 통한 참여의료 기술 연구 / Study on Participatory Medical Technology through Radar Sensor (RF-SCG) and Deep Learning Model
    • RFID reader & RF signal phase tracking for detect human behavior | RFID
    • Low-price & High-quality stethoscope & SCG measurement using smartphone with deep learning
    • Health data collecting device research & development

• Founder & Mobile lead @ VAST 2020 Jan ~ 2023 Aug - website

  • ARA project
    • Mobile(iOS | Android) Native Development
    • Project to make service that enables data transfer without OS barrier Organization
  • Mogak project
    • ML/DL Development
    • place recommendation service to meet user's mood, and needs using ML/DL to find image ambiance, and review comment analysis.

• VR software developer @ P.EYE 2023. Jul ~ Present
  • Interaction development & indoor 3d position localization
  • 2024 Software development team leader
• Member @ NAEK YEHS(한국공학한림원 차세대공학리더) Sep. 2022 ~ Present
  • 2023 Associate Director in Dept of Human Resource
• Open Community Member @ GDSC Hongik

• Speaker @ GDSC Hongik 8th Dev Seminar : "All about Side Project" watch
• Speaker @ GDSC Ehwa : "Figma for SW development and cooperation"
• Mentor @ 서울런 멘토단 (Aug. 2022 ~ Feb. 2023)
• Project display @ SOSCON(Samsung Open Source Conference) 2017
  • exhibition list | article
  • Presenting WAG project
• Speaker @ 서울혁신센터 제5회 기술공유회 2017
  • Introduction to opensource technology in UAV system & modeling light weight frame on various materials

• Introduction to Quantum Theory to IT
• 양자 컴퓨팅 및 정보의 기초 | Quantum Computing and Fundamental of Information
• CS231n | CS224n

• Dum-E : A small AI robotics project. LLM Reasoning, performing the task by robot arm.
• HomemadeNN : Making Neural Net only using Numpy & Pandas.

• SKDM : Mobile sensor based keyboard stroke decode model. Using only Acceleration & Audio from mobile device. Upto 93% of the accuracy was achieved.
• LNDT-Private Repo : Making P2P system that doesn't require internet access while achieving data transfer with iOS & Android & MacOS & Windows : This is part of ARA project
• Penso project : Gaze tracking system project, for 'deep learning' learning purpose (Nov, 2021~)
• RE project : Up-cycling project, making application that can make old smartphone into smart home hub & smart speaker. This project also has intent to reuse old smartphone which is very hard to be thrown away
• mobile 한글시계-Maintaining projet(안드로이드 개발) : Maintaining & small updates (2018~)
• New Sense-Finished : Obstacle warning item for safe bike riding (2018)
• WAG-Stopped : Stands for Water, Air, Ground; project to make drone that can go on air, underwater, on ground for emergency situation (2014~2019)

• 2018 수성인재장학생 scholarship student at 수성인재육성장학재단
• 2018 (Hack-a-thon) 3rd place POSTECH 나노융합기술원 무한상상 메이커스 대회
• 2019 연구논문 부문 우수 청소년 학자상(Excellent Youth Scholar Award) KSCY
• 2021 (Hack-a-thon) 2nd place 세종혁신센터 세종 스마트 메이커톤
• 2024 (Hack-a-thon) 1st place KU-Cambridge Campus Sharing Economy MAKEathon

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• original 'webRTC' & dataChannel bandwidth improving
• Very beginning of Machine Learning & Deep Learning (Lecture 'CS231n' from Stanford Univ)
• Very beginning of Quamtum Computing Learning Quantum Computer
• RFID backsacttering

• Implementing Neural Network on new HW platform such as Quantum Computer or Neuromorphic Computer
• Compling AI