Service architecture
Boundaries, event flows, background jobs, ownership models, and migration paths that reduce operational drag.
I design APIs, distributed systems, observability pipelines, and high-throughput services that stay calm under real production load.
Versioned, testable, and friendly to product teams.
Timeouts, queues, retries, idempotency, and alerts.
Measured bottlenecks, lean queries, and predictable latency.
Practical backend work across the path from product idea to durable service.
Boundaries, event flows, background jobs, ownership models, and migration paths that reduce operational drag.
Metrics, logs, traces, dashboards, and alert rules that expose causes instead of producing noise.
Index strategy, query plans, cache design, and consistency choices tuned to product behavior.
Replace these with your own work as we personalize the site.
Idempotent processing, replay tooling, signature verification, and dead-letter recovery for critical billing events.
Rate limits, tenant-aware routing, audit logs, and contract tests for partner-facing integrations.
Buffered event ingestion with backpressure, schema validation, partitioned storage, and real-time health views.
The strongest backend work is usually invisible: fewer incidents, clearer APIs, faster deployments, and systems other engineers can reason about when pressure is high.
$ run migration:expand
✓ backward-compatible column deployed
✓ read path verified across replicas
→ contract tests passing
Short technical writing can turn this portfolio into a stronger proof of taste.