Backend Developer / Systems & APIs
Build the engine behind the experience.
I design reliable backend systems that turn complex product requirements into fast APIs, resilient services, clean data flows and infrastructure teams can trust.
01 / About
Precision at the service layer.
My backend practice is built around a simple idea: infrastructure should make product teams faster, not more cautious. I focus on explicit contracts, thoughtful data models, failure-aware services and observability that explains what the system is doing when the happy path disappears.
API designDistributed systemsData modelingPerformanceReliability
8Years building
42Production services
99.98%Target uptime
18Launches supported
02 / Expertise
The backend toolkit, without the noise.
I choose technology around the system's constraints: throughput, consistency, latency, operational cost and team ownership. The result is a practical stack rather than a fashionable one.
Node.jsTypeScriptPythonPostgreSQLRedisKafkaDockerCloud platformsCI/CDOpenTelemetry
03 / Method
Forge, test, observe.
Every service gets a deliberate path from contract to production.
01
ModelClarify boundaries, data and failure modes.
02
ShipKeep interfaces small and deployments repeatable.
03
ObserveMeasure latency, errors and business impact.
04 / Selected systems
Systems that earned their place in production.
01 - PLATFORM
Event-driven order core
Designed idempotent services and asynchronous workflows for order creation, inventory reservations and fulfillment events, reducing peak API latency by 41%.
02 - DATA
Analytics ingestion
Built a resilient ingestion path with validation, replay handling and partition-aware processing for high-volume product telemetry.
03 - RELIABILITY
API observability layer
Introduced tracing, structured logs and service-level indicators that cut incident investigation time from hours to minutes.
05 / Contact