Medical imaging systems, cloud infrastructure, and custom software — built for reliability and scale.
I'm a Senior Software Engineer with over 8 years in medical imaging, radiology platforms, and healthcare infrastructure. My day-to-day work spans DICOM routing, HL7/MWL bridging, PACS/RIS/VNA integration, and go-live validation across vendors.
I've reduced on-prem DICOM infrastructure costs by 70% through a 4× performance optimization — downsizing from a 64 GB/32-core server to a 12 GB/8-core node without sacrificing throughput. I build custom DICOM networking at 2+ Gbps on minimal hardware.
Beyond healthcare, I take on cloud application development, custom software, and agentic AI systems — wherever complex infrastructure needs to be made reliable, auditable, and fast.
Custom DICOM networking, HL7/MLLP routing, PACS/RIS/VNA integration, and MWL bridging. Built for real-world clinical environments across multiple vendors.
Architecture and implementation on AWS and GCP. Containerized services with Kubernetes and Docker. Scalable pipelines for data-intensive healthcare and enterprise workloads.
Backend systems in Golang and Python. REST and gRPC APIs, real-time data pipelines, and developer tooling. From greenfield builds to deep integration work.
AI workflow automation, LLM tooling, and MCP integrations. Prompt engineering for production systems. Practical AI that fits into existing clinical and engineering workflows.
Pre-production testing strategy, go-live validation, and system audits for radiology workflows. I help teams reduce risk before deployment in clinical settings.
Cost reduction and performance tuning for on-prem and hybrid environments. I've cut infrastructure costs by 70% while maintaining 2+ Gbps DICOM throughput on minimal hardware.
Behind every data packet, there is a patient.
I build systems that don't fail when it matters most.
Open to consulting engagements, integration projects, and interesting engineering challenges — in healthcare and beyond.