Available to hire
Hi, I’m Alexander Kim, a Senior Full-Stack Developer with 5+ years of specialized experience in healthcare technology and medical imaging systems. I design fault-tolerant microservices using Python, FastAPI, React/TypeScript, and Kafka, with HIPAA-compliant data pipelines and scalable cloud infrastructure.
I’ve led large-scale migrations and architecture optimizations across teams, delivering measurable improvements in deployment speed and reliability. I’m passionate about building secure, compliant healthcare platforms and collaborating with cross-functional teams to drive impactful outcomes.
Skills
Experience Level
Expert
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Intermediate
Work Experience
Senior Full-Stack Developer / System Architect at Douzone (Healthcare Division, Korea)
June 1, 2024 - PresentLed architecture and development of scalable DICOM routing and healthcare data pipelines, processing 100GB+ of medical imaging daily across 5 PACS sources. Implemented asynchronous routing with Redis streams, UUID-based deduplication, Redis-backed queuing, and PostgreSQL/Redis clustering to ensure 99.9% uptime. Achieved sub-200ms latency per routing operation with 150+ images/sec throughput and 1000+ concurrent connections. Consolidated 12 React microservices into a Turborepo monorepo and consolidated 12 Spring Boot services into an optimized monolith, cutting deployment cycles by ~3x. Mentored mid-level frontend engineer and led architectural decisions.
Backend Engineer / DevOps at Douzone (Healthcare Division, Korea)
May 1, 2025 - October 16, 2025Deployed production Orthanc PACS server on AWS EC2 with S3 backend handling 50,000+ DICOM files/day for long-term archival. Implemented automated PHI detection and deletion scripts processing DICOM metadata; built pixel-level burned-in PHI detection workflow ensuring HIPAA compliance. Designed hospital-based DICOM routing logic with automated multi-tenant facility sorting and RIS/HIS workflow integration. Delivered IaC scripts, tests, and deployment automation.
Middle Full-Stack Developer at Gachon University R&D (AI + Medical Imaging)
May 1, 2024 - October 16, 2025Built GPU-accelerated AI platform with Celery and NVIDIA MIG across 6 distributed servers for scalable medical image inference. Real-time DICOM processing via WebSockets (100+ images/hour) with U-net segmentation for clinical research. Implemented observability dashboards with Prometheus and Grafana to monitor system health, GPU utilization, and inference performance.
Full-Stack Developer at Deep Inspection (South Korea)
May 1, 2022 - October 16, 2025Built automated QA platform with Mask R-CNN object detection and 2D/3D defect visualization for precision manufacturing. Reduced quality report generation time by 80% through document synchronization and UI improvements.
Education
M.S. at Sungkyunkwan University, Convergence Engineering
January 11, 2030 - January 1, 2022B.S. at Korea National Open University, Computer Science
January 11, 2030 - January 1, 2026B.S. at MEPhI (Russia), Civil Engineering
January 11, 2030 - January 1, 2013Qualifications
Industry Experience
Healthcare, Software & Internet, Professional Services
Skills
Experience Level
Expert
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Intermediate
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