Summary
Huseyin Donmez is a Principal Software Engineer with 11+ years of experience architecting HIPAA-compliant, high-throughput backend and AI/LLM systems for healthcare and high-growth tech. He specializes in taking projects from 0→1 to scalable production—building microservices, GraphQL/REST/gRPC APIs, and multi-DB architectures that handle millions of daily requests while integrating regulated clinical systems (FHIR/HL7). Huseyin brings deep expertise in AI-native infrastructure, including RAG-based QA systems, medical summarization pipelines, LLM inference optimization (vLLM, Triton, quantization), and guardrails for reliable deployments. He combines cloud-native practices on Azure/AWS, container orchestration, and observability with practical security and identity design (OAuth2/OpenID Connect, RBAC) to meet regulatory demands. Now at Microsoft Health & Life Sciences working on DAX Copilot Core, he’s expanding into Go and Rust to push GPU-centric, high-performance distributed AI infrastructure.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.) Economics, Bachelor of Applied Science (B.A.Sc.) Economics at Anadolu University
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Western Governors University
Turkish, English, German