AI&SW Intern
Samsung Medison
Seoul, Seoul
01.2025 - Current
- Developed an AI-powered view-setting module for ultrasound devices, reducing manual configuration time by 40% and improving diagnostic consistency.
- Refactored the AI communication layer using the Command Pattern, cutting error rates in data transmission by ~20% and improving code maintainability.
- Conducted competitive analysis of 3+ global ultrasound solutions and proposed ML-based automation ideas, contributing to a product roadmap for next-gen AI modules.