Service
Laravel backends for SaaS and eCommerce
Laravel is where most of my SaaS and API work lives: clean REST and GraphQL surfaces, queued background processing for anything slow or rate-limited, multi-tenant data separation, and integrations out to Shopify and payment providers that fail gracefully instead of silently.
What this includes
REST and GraphQL APIs
Versioned, documented endpoints with consistent validation, error shapes and auth, built to be consumed by more than one client.
Queues and scheduled jobs
Redis or RabbitMQ backed queues for syncs, webhooks and reports, with retry policies and dead-letter handling.
Multi-tenant SaaS structure
Tenant isolation, per-tenant configuration and billing hooks designed in from the start rather than retrofitted.
Third-party integrations
Shopify, payment gateways and internal services wrapped behind interfaces that are testable without hitting the live provider.
Proof
Shipped work using this
Fizazzle Booking Platform
Booking-focused service platform with customer scheduling, admin booking management, vendor assignment workflows, invoice handling, payment status tracking, and customer/vendor communication flows.
View case studyPayment Service API
Unified payment integration platform with PayPal, Stripe, Razorpay, webhooks, refunds, transaction status handling, and reusable APIs for external applications.
View case studyUser Central
Webkul user management portal for centralized account access and customer-facing service workflows.
View case studyCommon questions
Do you work on existing Laravel codebases?+
Yes, that is most of the work. Typical entry points are an audit, a performance or queue problem, or a feature that the current structure makes difficult.
Can you connect Laravel to Shopify?+
Yes. A Laravel backend behind a Shopify app is a common and solid pattern: it handles OAuth, webhook processing, background syncs and billing while staying independent of the storefront.
Do you write tests?+
For anything involving money, external APIs or data migration, yes. Those are the areas where an untested change is most expensive to get wrong.