Projects
Inventory Management System
Inventory Management System
2023 - 2024Designed and implemented an inventory management system for Mignon and Mignon. The system computerized stock data and incorporated automated low stock alerts.
Frozen Note
Frozen Note
February 2024Caffeine Tracker
Caffeine Tracker
February 2024Developed a native Apple Watch application that tracks caffeine consumption with personalized intake limits. The app provides insights on consumption patterns and sends alerts when approaching daily limits.
Zodiac Fortune Teller
Zodiac Fortune Teller
Fall 2021A simple web application that tells one's daily zodiac fortune. The application uses three services including, Aztro, which is an astrology API that tells your luck of the day depending on your zodiac sign, ResponsiveVoice, which is a TTS API, and the Twitter API so the users can tweet the result.
One Touch Access Management System
One Touch Access Management
Fall 2021Developed a demo for a COVID tracking check-in manamgenet system using BLE beacons. The system improved the existing QR check-in system by making the system more accesible to blind people and the elders.
Silent Speaker
Silent Speaker
December 2020Collaborated in a hackathon to create an assistive technology solution for hearing-impaired users. Engineered a computer vision system that translates Korean Sign Language to text and speech output in real-time.
Work Experience
Mignon and Mignon
Software Engineer
Irvine, CA
- Designed and implemented an inventory management system using Flutter and Firebase, resulting in 30% improved inventory accuracy and reduced stockouts
- Developed automated order processing software with Python and Shipstation API integration, reducing preprocessing time by 55% and increasing daily fulfillment capacity by 40%
- Led IT support initiatives for cross-functional teams, resolving technical issues with a 95% same-day resolution rate
Electronics and Telecommunications Research Institute (ETRI)
Research Intern
Daejeon, South Korea
- Contributed to development of computer vision models utilizing TensorFlow to detect repetitive motions that cause musculoskeletal injuries in industrial environments
- Preprocessed and augmented training datasets for deep learning models, improving recognition accuracy by 15%
Fiberpia
Undergraduate Intern
Daejeon, South Korea
- Assisted in the development and testing of fiber optic sensor technologies for environmental monitoring applications
- Contributed to research that resulted in a published paper on landslide detection systems using distributed fiber optic sensing
- Collected and analyzed test data to validate sensor performance under various environmental conditions
Education
Georgia Institute of Technology
Master of Science, Computer Science
August 2024 - June 2026 (Expected)
KAIST
Bachelor of Science, Computer Science
Graduated in February 2023
Skills
Language
Frontend
Developer Tools
Languages
Project Title
Detailed description of the project here.