MERN developer · for hire

Hire a MERN developer who ships dashboards and APIs that hold up in production.

Independent MERN stack developer building React dashboards, Node/Express APIs, and MongoDB-backed apps — including the AI and RAG backends that power chatbots and internal tools. Lean, tested, owned by you, no agency markup.

Book a 20-min scope call → See selected work

◆ React · Node · Express · MongoDB · OpenAI / RAG · 6+ years shipping production work

Why the MERN hire goes wrong

What goes wrong with the typical MERN hire.

Five patterns I clean up after on MERN projects that shipped fragile or stalled. The fix is one engineer who has run a Node app in production, not just built a tutorial to-do app.

01 ◆

A frontend-only React developer takes on the Node/Express/Mongo backend and learns auth, indexing and aggregation pipelines on your budget. The data layer is where it breaks under real load.

02 ◆

No structure — business logic scattered across route handlers, no service layer, no validation boundary. It demos fine and becomes unmaintainable by month three.

03 ◆

MongoDB modelled like a relational database (or vice versa). Missing indexes, unbounded documents, N+1 queries against the collection. The app crawls the moment data grows.

04 ◆

No background processing — third-party API calls and AI requests run synchronously inside the request, so the app times out and the UI hangs.

05 ◆

No tests on the money paths, no error tracking, no real deploy story. "Works on my machine" ships straight to production.

What I actually ship

What you get when you hire me on MERN.

Production-grade MERN from scoping through launch: typed where it helps, a clear service boundary, indexed queries, background jobs for slow work, and tests on the paths that cost money if they break.

◆ React front-ends — admin dashboards, internal tools, customer portals. Component-driven, state managed sanely (Redux Toolkit / Zustand / React Query), accessible.
◆ Node + Express (or Fastify / Nest) APIs — versioned, authenticated (JWT / session / OAuth), validated at the boundary, rate-limited, documented.
◆ MongoDB done right — schema design fit to access patterns, indexes, aggregation pipelines, pagination, no unbounded documents. Mongoose or the native driver as appropriate.
◆ Real-time where needed — WebSocket / Socket.IO for live dashboards, notifications, collaborative UI.
◆ AI / RAG backends — OpenAI / Anthropic, vector store (Pinecone / pgvector / Mongo Atlas Vector), retrieval grounded in your data, conversation logging. This is the stack behind my AI chatbots and the jewelry-ops "sheets → cited answers" app.
◆ Background processing — BullMQ / queue workers for third-party calls and AI requests, with retry/backoff and idempotency.
◆ Integrations — Stripe, HubSpot, Shopify Admin/Storefront APIs, Google Sheets/Drive, webhooks. The MERN app talks to your existing stack.
◆ Tests on critical paths — Jest / Vitest on business logic, supertest on the API. Error tracking (Sentry) wired in.
◆ Deploy + ops — Dockerized, CI/CD, deployed to Vercel / Render / Railway / a VPS, with environment config and monitoring.
◆ 14 days of post-launch monitoring + iteration. Bugs in delivered scope fixed free.

Packages

Three ways to work together.

Most MERN projects fit one of these. If yours doesn't, I quote inside 48 hours after a scope call.

Scoped build

From $2,400

Delivery 1-2 weeks

One dashboard, tool, or API surface
Service-layer architecture, indexed Mongo queries
Auth + validation at the boundary
Jest/Vitest on the critical path
README + 7 days post-launch support

Get a quote →

Production app Most chosen

From $6,000

Delivery 3-6 weeks

Full-stack React + Node/Express + MongoDB app
Auth, roles, real-time where needed
2-3 third-party / AI integrations via queued jobs
Error tracking + CI/CD + Dockerized deploy
Tests on business logic + API
14 days post-launch iteration

Get a quote →

Platform / SaaS

From $15,000

Delivery 8-14 weeks

Multi-tenant SaaS or data-heavy platform
Teams/roles, Stripe billing, usage metering
RAG / AI layer with vector search if warranted
Real-time collaboration / live dashboards
Full integration test coverage, observability
30 days post-launch support + retainer option

Get a quote →

Process

How a typical project ships.

Scope call (20-30 min)

You walk me through the product, the data, and the integration surface. I tell you on the call whether MERN is the right tool and whether I'm the right fit.

Spec doc + fixed quote

Within 48h: a spec doc with the data model, API design, and a fixed-price quote with a delivery date. NDA-ready.

Build + weekly demo

Code in your repo from day one. Daily Loom updates, weekly demo on a staging URL. Tests written as I build the critical paths.

Ship + 14-day support

Deploy with CI/CD and monitoring. Live walkthrough, written handoff doc, 14 days of iteration after launch.

FAQ

Questions clients ask before hiring.

No fluff — the specifics buyers want before booking a call. If yours isn't here, ask on the call.

What kind of MERN work do you specialise in?

Data- and integration-heavy apps: admin dashboards, internal tools, customer portals, and the AI/RAG backends behind chatbots and product-finder assistants. I've built an AI ops app that ingests spreadsheets and returns cited answers, and on-site AI chatbots grounded in a catalog via RAG — both on Node.

Do you do both the React front-end and the Node back-end?

Yes — full-stack MERN is the point. React on the front (with React Query / Zustand / Redux Toolkit as the state needs dictate), Node + Express/Fastify/Nest on the back, MongoDB for data. I can also slot into an existing codebase on just one side if that's what you need.

Can you build AI / RAG features into a MERN app?

Yes — OpenAI or Anthropic, a vector store (Pinecone, pgvector, or Mongo Atlas Vector Search), retrieval grounded in your data, and conversation logging. The chatbot and ops-app work I've shipped is exactly this stack. AI calls run in background jobs so the UI never hangs.

How do you keep a MongoDB app fast as data grows?

Schema designed to the access patterns, the right indexes (compound where needed), aggregation pipelines instead of app-side joins, pagination on every list, and no unbounded documents. I profile the slow queries before they become a production problem.

Do I own the code?

Yes — full IP transfer on final payment. Code in your repo from day one, Dockerized, CI/CD configured, documented. Your next developer can pick it up without calling me.

Where are you based and how do hours overlap with the US/UK?

Anantnag, Kashmir (UTC+5). I work US-friendly hours by default (typically 7am-3pm ET) with full UK-morning overlap. Daily Loom updates, weekly demo, async-first otherwise. NDA-ready.

Keep reading