🔗 Service design
REST APIs, background workers, idempotent jobs, queues, caching and graceful degradation for high-change products.
I design backend systems where APIs, queues, databases and observability behave like a single living nucleus: coordinated, measurable and ready for the next request.
My work sits below the interface: turning product requirements into clear service boundaries, durable data flows and APIs that are easy to operate. I care about failure modes as much as happy paths.
A practical stack shaped around throughput, correctness and operability, not technology for its own sake.
REST APIs, background workers, idempotent jobs, queues, caching and graceful degradation for high-change products.
Schema design, query tuning, transactional boundaries and containerized deployments with metrics that expose the real bottleneck.
Contract-first thinking, focused tests, structured logs and incident-aware design from the first architecture sketch.
Selected backend work framed by the problem, the architecture and the measurable outcome.
Event-driven order orchestration with idempotent consumers and retry-safe fulfillment state.
Low-latency search API with cache-aware reads, connection pooling and workload-aware pagination.
Background reconciliation pipeline designed around deterministic jobs, checkpoints and auditable outcomes.
Observability layer joining traces, structured logs and service-level signals into one operating view.
Leading service architecture for a multi-tenant platform, with a focus on asynchronous workflows, database performance and production reliability.
Built customer-facing APIs and internal workers, introduced contract testing and helped move critical workloads toward event-driven processing.
Developed transactional services, reporting pipelines and integrations while building a strong foundation in SQL, testing and operational debugging.