Custom API development
REST and GraphQL APIs with versioning, input validation, and OpenAPI docs your other developers can actually use.
API integration connects applications so they can exchange data and trigger actions without manual transfer. It is intended for teams that need a custom API, a third-party service connection, webhook processing, or a secure partner-facing interface.
What I build
REST and GraphQL APIs with versioning, input validation, and OpenAPI docs your other developers can actually use.
Stripe, HubSpot, Salesforce, QuickBooks, Twilio, and shipping/payment gateways connected to your app or database.
Inbound and outbound webhooks with idempotent handlers, signature verification, and automatic retries.
OAuth 2.0, API keys, and JWT, plus rate limiting and scopes so a public API can't be abused.
Problems this solves
Example use cases
Wired Stripe webhooks to keep an app's subscription state in sync automatically, with signature checks and idempotent handlers.
New leads captured on a site were pushed into HubSpot and announced in Slack — no manual entry, with retries on failure.
Built a REST API with per-partner API keys, scoped access, and rate limiting so external partners could pull data safely.
Tech stack
Process
Identify sources, destinations, and the data that must move.
Endpoints or events, auth, and error handling up front.
Implement with validation, retries, and rate limits.
OpenAPI docs and monitoring so it stays reliable.
Most integrations I build run on Node.js, and they're part of my wider full stack development work. When an integration needs an LLM in the loop — classifying, extracting, or drafting — I combine it with AI application development.
Related services
Node.js development provides the server-side APIs, real-time services, background jobs, and database access used by web and SaaS products. It is intended for teams building a new backend or improving an existing service that needs clearer architecture, authentication, queues, or live updates.
AI application development adds model-based functions such as summarization, extraction, classification, retrieval, or assisted drafting to a software product. It is intended for teams with a defined workflow and data source that need an AI feature integrated with existing systems and measured for accuracy, cost, and failure cases.
Full-stack development covers the frontend, backend, database, authentication, integrations, and deployment of a web product. It is intended for teams that want one developer to own these connected layers or complete an existing application end to end.
FAQ
Email me with what you need — I'll reply with a clear plan and next steps. Prefer chat? WhatsApp works too.