Software architect and technical leader working on medical imaging, Modern C++ systems, and AI-assisted software delivery.
한국어 · Portfolio · LinkedIn · Email
CTO at Flonics since March 2026, responsible for development, operations, and technical management of medical imaging-based blood flow diagnostics.
- Medical imaging: DICOM/PACS, hospital-system integration, and test environments.
- Systems engineering: reusable C++ libraries for concurrency, networking, messaging, data access, and observability.
- AI-assisted delivery: requirements-to-PR workflows, versioned agent configuration, isolated development environments, and human review of generated work.
- GMP audit readiness: preparation for and response to Korean MFDS medical device GMP audits (based on ISO 13485) for a software medical device: pre-audit document reviews, document and record control, change control board (CCB) decisions, and evidence for auditor questions.
- Ray (2010–2022): Designed and developed medical imaging software spanning PACS, DICOM viewers, image acquisition equipment control, and image management and transfer servers.
- Pozalabs (2023–2025): Designed the distributed architecture for an audio rendering SaaS, including microservice orchestration, messaging, caching, observability, and CI/CD.
- Purplechips (2022): Designed and implemented an AI job serving system for semiconductor EDA workloads.
See the career history for roles, responsibilities, and related work.
- Languages: C++ (14/17/20), C#, Rust, Go, Python, TypeScript.
- Systems: ASIO, RabbitMQ, Redis, PostgreSQL, OpenTelemetry, Docker, AWS, GitHub Actions.
- Imaging and UI: DICOM/PACS, Qt, WPF/MVVM.
- Medical-device engineering: experience applying IEC 62304, ISO 13485 (including the Korean MFDS medical device GMP built on it), and ISO 14971 to requirements, risk analysis, verification, traceability, regulatory documentation, and audit preparation. These describe engineering, product-approval, and audit-preparation experience, not personal certifications.
Open to conversations about technical leadership and collaboration in medical imaging, systems engineering, and AI-assisted development.




