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

• HCI, Edge device AI
• Federated Learning
• Sensor Data Analysis: Extracting useful insights(features) from the sensor data

CV - May 2024.pdf

: [email protected]

• Advanced class student in KNU Computer Engineering Education Institute for Gifted Dec. 2014 ~ Dec. 2015
• Computer Engineering in Hongik Univ Mar. 2021 ~ Present

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

  • Federated Learning | Continuous Learning
    • Efficient FL
    • developing FLT: A FL tool for fast and easy experiments without using a massive experiment setup but on a single server.
  • A Study on Intelligence Using Embedded Sensors. Especially human context-aware.

• Undergraduate Intern @ HCSlab@CAU Dec. 2022 ~ Dec. 2024

  • SCG detection using RF & RFID radar | RFID
  • Developing a 3D-Printed Smartphone-Based Heart Sound Auscultation System for Affordable and User-Friendly Home Use

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

  • ARA Service
    • Mobile(iOS | Android) Native Development
    • Project to make service that enables data transfer without OS barrier Organization

• Lead of SW dept @ P.EYE Jul. 2023 ~ Dec. 2024
  • Managing VR interaction & SW infrastructure development
  • 2024 Software development team leader
• Member @ NAEK YEHS(한국공학한림원 차세대공학리더) Sep. 2022 ~ Present
  • 2023 Associate Director in Dept of Human Resource
• Review Committee @ NAEK's Engineering Technology Book 2024
• Open Community Member @ GDSC Hongik

• 2018 Scholarship Suseong Future Education Foundataion
• 2018 3rd place POSTECH NINT makers competition
• 2019 Excellent Youth Scholar Award KSCY
• 2021 2nd place Sejong CCEI Make-A-Thon
• 2024 1st place KU-Cambridge Campus Sharing Economy MAKEathon
• 2024 Scholarship KLF

• vibTouch
• Mogak project
  • place recommendation service to meet user's mood, and needs using ML/DL to find image ambiance, and review comment analysis.

• 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)

• 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
• Quantum Computing and Fundamental of Information
• LLM : CS224n..
• Implementing Neural Network on new HW platform such as Quantum Computer or Neuromorphic Computer
• Compling AI