Hire a Node.js developer for APIs that hold under real load
Soham Dang builds Node.js and Express.js backends for production systems — REST APIs, authentication, multi-tenant access control and the database work behind them — including services running behind Nginx at MS Infracon and the API layer of Avani Business OS.
A backend is judged on what happens when things go wrong: the request that arrives malformed, the third party that returns a 500, the tenant whose query should have been scoped and was not.
Most of the engineering value in a Node.js API is in that layer. The happy path is the easy part.
API architecture
Contracts before handlers
Endpoint shapes agreed up front so the interface can be built against them in parallel rather than after.
Layered middleware
Validation, authentication, tenancy and error handling as composable layers, not conditionals scattered through route bodies.
Structured error handling
One error surface that returns useful, consistent responses instead of leaking stack traces or swallowing failures silently.
Verified webhooks
Signature verification on anything a third party calls. Razorpay payment webhooks drive enrolment and order state rather than trusting a browser redirect.
Authentication and multi-tenancy
JWT sessions and OAuth sign-in, with role-based access control enforced in middleware. Every tenant-scoped query goes through a single guard, so isolation is structural rather than something each new endpoint has to remember.
This is the difference between a system that is secure and one that is currently secure. The second kind fails on the day someone adds an endpoint in a hurry.
The database is part of the backend
MongoDB schema design, Mongoose models, compound indexing and aggregation pipelines are not a separate discipline from the API — they are what determines whether it responds in 40ms or 4 seconds.
Dashboards, reporting and payroll rollups run as aggregation pipelines. Application-side rollups are the most common reason a Node API gets slow as data grows.
Integrations and automation
Third-party integration layers with retries and fallbacks: Razorpay for payments, Cloudinary for media, the WhatsApp Business API for notifications, and n8n for workflow automation.
On the AI side, OpenAI API integration and MCP (Model Context Protocol) servers that expose task, lead, HR and finance data through a tool layer which checks permissions before the model ever sees a row.
Common questions
What backend work does Soham Dang do in Node.js?
REST API design and implementation in Node.js and Express.js, JWT and OAuth authentication, multi-tenant role-based access control, MongoDB schema and aggregation design, webhook verification, and third-party integrations including Razorpay and the WhatsApp Business API.
Has Soham Dang worked with Nginx?
Yes. At MS Infracon he built Node.js and Express.js services running behind Nginx routing, alongside MongoDB schema design and aggregation pipelines tuned for high-traffic reads.
Does Soham Dang handle API security?
Yes — JWT and OAuth verification, role-based access control in middleware, request validation, signed webhook verification and API security audits as part of ongoing production work.
Can Soham Dang integrate AI into an existing backend?
Yes. He has integrated OpenAI-backed assistants and MCP servers into production services, including an AI meeting assistant that transcribes live meetings, generates structured minutes and assigns action items over WhatsApp.