Backends that hold up under real load.
REST + GraphQL APIs, secure authentication, RBAC, queue-based architecture, caching, and the production discipline to keep them all running cleanly.
Problems I solve
- Endpoints that work in demos but melt under real traffic
- Auth + roles glued together inconsistently across services
- No queues, no caching, no clear scaling story
- Database schemas that block the next feature instead of enabling it
What I can build
- REST + GraphQL API design
- JWT auth, refresh tokens, RBAC / ABAC, session revocation
- Queue-based processing (BullMQ / Redis / RabbitMQ)
- Database design + indexing (PostgreSQL, MongoDB, MySQL)
- Third-party integrations (Stripe, Twilio, S3, webhooks)
- Observability + structured logging + tracing
Process
- 01
Domain + contracts
Model the domain, draft the API contracts, sanity-check the database. No surprise rewrites two months in.
- 02
Implementation
Typed end-to-end, tests for the paths that matter, CI gating every change.
- 03
Hardening
Load testing, rate limiting, error budgets, observability instrumentation before production traffic.
Deliverables
- Production REST / GraphQL API in your repo
- Database schema + migrations
- Auth + RBAC implementation
- API documentation (OpenAPI / GraphQL schema)
Tech stack
- Node.js
- NestJS
- Express.js
- PostgreSQL
- Redis
- BullMQ
- Docker
- AWS
Relevant case studies
Enterprise Auth Platform
Production-grade authentication and authorization infrastructure for modern SaaS and enterprise applications — featuring multi-tenancy, RBAC + ABAC, refresh-token rotation, session management, queue-driven architecture, and tenant-scoped security.
Enterprise Frontend PlatformEnterprise Telecom Business & Ecommerce Portal
Enterprise Angular 16 telecom platform for a Canadian telecommunications company, featuring business-side portal flows, ecommerce checkout, payment gateway integration, address lookup, SEO improvements, and Contentful-driven dynamic page and component rendering.
AI AppAuto SaaSAppAuto AI Platform
AI-powered AppAuto platform for vehicle owners and dealerships, combining mobile garage management, VIN decoding, recalls, service history, admin analytics, and a Claude-powered text and voice assistant connected to real vehicle data.
FAQ
Frequently asked questions
- Can you work as backend support for our existing frontend?
- Yes — that's a common engagement. We agree on the API contract early and ship vertical slices the frontend can integrate against.
- Do you write tests?
- For everything that matters. Critical paths get integration tests; pure logic gets unit tests. Test coverage is a means, not a metric I chase.
- What about scaling later?
- Architecture is picked so it survives the next 10x of load without painful rewrites. Caching, queues, and horizontal scaling are planned from day one.
Ready to scope your backend / api project?
Share a few details and I'll come back with a focused read on scope, architecture, and timeline.