I am a backend engineer with 12 years of experience building Java and Spring Boot services on Azure, and in recent years I have focused on AI platform infrastructure, including LLM inference hosting, vector search, and observability tooling.
I have led production work on AI-backed systems, from architecture through deployment and on-call ownership. I enjoy turning ambiguous business needs into reliable, well-instrumented services that can operate at scale.
My background includes building Python and Java backend services, designing RAG pipelines, and creating ingestion and embedding workflows that process large volumes of data efficiently. I care deeply about performance, reliability, and measurable quality improvements.
I am comfortable working across product, operations, ML, and security stakeholders. I have helped translate requirements into production roadmaps and have mentored less experienced engineers along the way.
A consistent theme in my work is test-driven development and incremental delivery. I like building systems with strong regression coverage, clear observability, and practical guardrails for safety and compliance.
I am especially interested in roles where I can continue building AI infrastructure, search/retrieval systems, and backend platforms that support customer-facing products at scale.
