- Currently, I’m working in Gbike as a mobile developer!! 📱
College of Medicine, Yonsei University, Seoul, South Korea Overall GPA 4.34/4.5
• Thesis: Development of cloud-based remote monitoring system for peritoneal dialysis patients
• Academic Focus: Medical Software Device Development & Regulation, Bio-Signal Processing & Machine Learning
College of Health Sciences, Yonsei University, Won Ju Republic of Korea Overall GPA: 3.68/4.5
• Academic Focus: Medical System Engineering, Bio-Signal Processing
G Bike Co., Ltd.
• Focus: Mobile Application development and maintenance.
• Major responsibilities
- General mobile development
- Bluetooth SDK development
MDOC, Seoul, Republic of Korea (m-doc.io)
• Focus: Development and Design Mobile Application and Web System
• Major responsibilities
- Co Founder & CTO
- Mobile App : React Native (JAVASCRIPT), AWS AMPLIFY (SERVERLESS)
- WEB : REACT(JAVASCRIPT), AWS AMPLIFY (SERVERLESS)
• React Native Project (MDOCHOMECARE)
- iOS : https://apps.apple.com/kr/app/%EC%97%A0%EB%8B%A5%ED%99%88%EC%BC%80%EC%96%B4/id1606627654?l
- Android : https://play.google.com/store/apps/details?id=com.choro94.mDochome
• Three JS project
• Next JS project
• React project
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mDocManager : distributed to each hospital
Demo : https://version3.d30lnrmdlnntoq.amplifyapp.com/#/
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Demo Video: https://www.notion.so/hisstoryxx/dea5c9fe37614927b32d6ac2be812bcc?pvs=4
Medical Device Design & Usability Laboratory, Yonsei University, Seoul, Republic of Korea
• Focus: Bio-Signal Processing & Machine Learning • Research
- Simulation and Analysis of Pattern Recognition Neural Network Algorithm for Detection of High risk Uterine Contractions based on Electrohysterogram Frequency analysis, The Korean Society of Medical & Biological Engineering, Fall Conference 2019, PS2-01
- Extraction Parameter of Non-Contraction Interval using Unsupervised Learning for Predicting Preterm Birth, The Korean Society Of Perinatology, Fall Conference, 2020, 20-3312
- Analysis of Uterine Contraction Using K-means algorithm, The Institute of Electronics and Information Engineers Summer Annual Conference of IEIE, 2020, GEP-672
- Design for prediction of Preterm using Preprocessing and CNN-LSTM Network, The Institute of Electronics and Information Engineers Summer Annual Conference of IEIE, 2021 • Major responsibilities
- Analysis Term and Preterm raw EMG data and Design Preprocessing Algorithm
- Design prediction of Preterm Birth Algorithm with Machine Learning
Medical Computer System Laboratory, Yonsei University Won Ju, Republic of Korea
• Focus: Signal-Processing Algorithm Design & Development(MATLAB)
• Research
- Development of Intravenous Injection Rate Measurement Monitoring System with Digital Signal Processing (capstone design)
• Major responsibilities
- Positioning and design of photo-interrupter sensor to fluid detection
- Design digital chopping noise canceling Algorithm
• Languages
- Korean: native language
- English: intermediate (IH, OPIC)
!! The contents below will be attached together with the resume, and only the project name is indicated.
- 클라우드 기반 복막투석 환자 비대면 모니터링 시스템 (Development of cloud-based remote monitoring system for peritoneal dialysis patients)
- 비접촉 / 비대면 지능형 인공호흡기 통합모니터링 및 제어시스템 개발 (Development of non-contact / non-face-to-face intelligent ventilator integrated monitoring and control system)
- 조산 고위험 산모의 자궁근전도를 이용한 자궁 수축 검출 알고리즘 개발 (Development of Uterine Contractions Recognition Algorithm based on Uterine Electrohysterogram)
- 신호처리가 적용된 수액 모니터링 시스템 (Development of fluid monitoring system with signal processing applied)