Architecture shaped by business risk
Good architecture is contextual. A banking workflow needs explicit approval states and audit-friendly validation. A document intelligence product needs confidence checks, deduplication, and source traceability. A RAG assistant needs retrieval quality, context controls, and grounded responses.
I design services, APIs, data models, and interfaces around those realities. The objective is not complexity for its own sake; it is a system that teams can reason about, extend, and support.
- Domain-focused backend architecture
- Microservices and integration boundaries
- Secure and maintainable REST APIs
- Database design and consistency controls
- Observability-minded error and workflow handling
Engineering across product boundaries
My experience spans backend systems, frontend applications, databases, machine learning workflows, and AI integrations. That breadth helps me identify problems that sit between components, where many production issues actually occur.
I collaborate closely with product stakeholders and operational users, translating process knowledge into technical decisions and iterating based on real usage rather than assumptions.