Maurya
Patel
Services

Service

API & Backend System Design

The engine room. APIs and data systems that stay fast when traffic gets real.

The backend is the part your customers never see and your business cannot live without. When it is designed well, everything on top of it feels fast and reliable. When it is not, you feel it as slow pages, mystery bugs, and a system that buckles the moment you get busy.

I design and build backends that hold up under real load: clean APIs your apps can depend on, database schemas that stay fast as data grows, and the security and observability to sleep at night. Whether it is a fresh system or fixing one that is creaking, I make the engine room something you can trust.

Discuss Your Project
API DevelopmentDatabase ArchitectureNode.js & Python

Is this you?

You Might Need This If.

  • 01Your app is slowing down or falling over as usage grows.
  • 02You need an API for a mobile app, a partner integration, or a second front end.
  • 03Your database has become a tangle nobody wants to touch.
  • 04You are building something that has to handle real concurrency from day one.

What you get

What's Included.

REST or GraphQL APIs

Well-structured, documented, versioned endpoints your front ends and partners can build on with confidence.

A database schema that scales

Designed for your access patterns, properly indexed, with migrations so changes are safe rather than scary.

Auth & authorization

Secure token handling, role-based permissions, and the boundaries that keep data where it belongs.

Real-time & background jobs

WebSockets, queues, and event-driven pipelines for anything that cannot wait for a page refresh.

Caching & performance

Redis and query tuning where it counts, so response times stay low as data and traffic climb.

Monitoring & docs

Logging, error tracking, and clear documentation so problems surface early and the next dev ramps fast.

How I work

The Process.

  1. 01

    Map the load

    I start with how the system is actually used: reads versus writes, peak traffic, what has to be instant. That shapes every design decision that follows.

  2. 02

    Design the contract

    We agree on the API shape and data model up front, so the front end and backend can move in parallel without stepping on each other.

  3. 03

    Build & harden

    Endpoints, validation, auth, and tests, with the security and error handling built in rather than bolted on later.

  4. 04

    Load-test & tune

    I push it under realistic load, find the bottlenecks before your users do, and tune until it holds.

The point of it all

What You Walk Away With.

  • A backend that stays fast and stable as traffic and data grow.
  • APIs clean enough that adding a new app or partner is easy, not a rebuild.
  • Fewer late-night incidents thanks to real monitoring and sane design.
  • A data layer your whole team can trust and build on.

FAQ

Questions Answered.

REST or GraphQL, which should I use?

It depends on your clients and how varied their data needs are. GraphQL shines when many front ends need different slices of data. REST is simpler and perfect for well-defined resources. I recommend the right fit for your case rather than the trendy one.

Can you fix the performance of an existing backend?

Yes, this is common work. I profile the system to find the real bottlenecks (usually a handful of queries or a missing cache), fix them in priority order, and give you the before-and-after numbers so the gains are provable.

How do you handle security?

Parameterized queries, proper auth and session handling, least-privilege access, secrets kept out of the client, and validation on every input. Security is not a phase at the end. It is built into how each endpoint is written.