About
Minseung (Roger) Kim
Welcome! I am Roger Kim, a computer science student at Hanyang University, Seoul. With expertise in Python and experience in C, C++, Java and JS, I Have built several REST APIs using Django REST Framework (DRF).
I am familiar with essential deploying tools such as Docker, AWS, GitHub Actions and so on. Furthermore, I am experienced in team working and is experienced with agile culture that I have learnt while being part of a startup project.
Experience
Research Intern (Oct 2024 - July 2025)
- Prof. Jeon’s Vibro-Acoustics Medical Lab at HYU
- Integrated Machine Learning and Digital Signal Processing techniques to develop an automated cough counting and segmentation system.
Key Skills
Software Engineering
- Backend development with Django
- REST API development with Django Rest Framework (DRF)
- Containerization with Docker
- Deploying with AWS (ECS, EC2, RDS, Lambda, and more.)
Machine Learning
- Computer Vision
- ML in Digistal Signal Processing
- Shipping Models with ONNX
Projects
Cough Segmentation
I worked on the Development of Respiratory Disease Diagnosis Model Based on Cough Sounds, when I was participating at the Vibro-Acoustics Medical Lab at HYU. Integrated Computer Vision Model and DSP Algorithm together for Automated Cough Counting & Segmentation.
Contributions
- Shipped DL models with DRF & ONNX
- Deployed on AWS
- Minimized Docker Image for DL Models
- Developed DSP algorithm with Python
Clip
Clip provides customizable tools that allow any university club to build its own system based on its unique way of operating. By doing so, it automates repetitive administrative tasks, enhances collaboration efficiency, and improves the participation experience for all members.
Contributions
- Managed domains with Route53, configuring subdomains
- Deployed static pages using CloudFront + S3
- Containerized applications with Docker to deploy to AWS EC2 instances:
- Flask servers, Flutter web apps, React & Next.js frontends
- Designed overall software architecture, including URL redirection and service routing logic
TOYKI
TOYKI is a service that provides opportunities to overcome the limitations of offline human relationships and enables everyone to build social networks more easily. It was a startup project that was done under the Hanyang Institute for Entrepreneurship (한양대 창업지원단). The project was elected as a finalist in the 2024 Student Startup Promising Team 300+ Competition
Contributions
- Frontend development with React
- Built REST API with Django Rest Framework
- Containerized and deployed with Docker, AWS ECS
- Set up & managed DB with PostgreSQL running on AWS RDS
Related Articles
AWS
DRF
- Customize DRF Simplejwt
- Introduction to Django Rest Framework
- JWT feat. Django
- Understanding DRF’s Serializer
DevOps
Personal Projects
cmpnyinfo
This is a simple website that analyses the financial statements of corporations registered in Korean Composite Stock Price Indexes(KOSPI). It provides essential analytical data and visual representation using variouse types of graphs.
Tech Stack
- Pure HTML & CSS for front
- Django for back
- Docker and AWS ECS for deployment
NAVER Shopping Insight
Visit it here. This is an API-based application that gathers information such as,
- the most searched keywords for shopping categories, from one of South Korea’s biggest IT company, NAVER.
- other such as monthly searched numbers, product numbers, competition index, etc.
⚙️ Packages Used
pandas, and more.
Corporate Analysis
Visit it here.
This opensource, API-based project:
- gathers & organizes the financial statements of companies listed in KOSPI(Korean Composite Stock Price Index); over the period of past six years.
- calculates essential & meaningful analytical data. For example:
- ROA, ROE, PER,
- Revenue/Operating Income/Net Income increase rate
- Profit Status
- visualizes those datas in various types of graphs. (Box plot, scatter plot, etc)
Packages Used
- Financial Data Retrieval
OpenDartReader(API)FinanceDataReader
- Data Analysis & Manipulation
pandasnumpy
- Others
pytestpickle