I will build scalable REST apis and intelligent backend systems with Python

Starter API Microservice

High-performance FastAPI endpoint with PostgreSQL, Pydantic validation, and Swagger docs.

Delivery Time
2 Days
Package Includes: see all
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Service details

I provide professional backend development services focused on building scalable, secure, and high-performance REST APIs.

As an AI Gold Medalist and researcher, I specialize in creating the technical foundations that power modern applications and intelligent systems.


You will receive a production-ready API built using Python and FastAPI.

Every project includes comprehensive documentation, input validation using Pydantic, and a structured database architecture designed for speed and reliability.


What I Deliver

I will design and implement a custom backend architecture tailored to your specific needs. This includes setting up secure authentication, complex business logic, and efficient data processing pipelines.

If your application requires Artificial Intelligence, I can integrate machine learning models, vector databases, and RAG systems directly into the backend. This ensures your AI features are fast and seamlessly connected to your data.

Technical Expertise

I use a modern, industry-standard tech stack to ensure your project is future-proof:

  • Framework: FastAPI and Python 3.11+
  • Database: PostgreSQL, Supabase, and pgvector
  • Validation: Pydantic for type-safe and secure data handling
  • Environment: Docker-ready code for easy deployment and scaling


How This Service Helps You

By choosing this service, you get a backend that follows rigorous industry standards from the start.

I focus on writing clean, maintainable code that reduces technical debt and allows your application to handle increasing user traffic without performance issues.

Whether you are building a startup or enhancing an existing system, I provide the technical expertise to turn your requirements into a robust, functional reality.

I am committed to delivering high-quality code that is easy to extend and maintain.

Key details

  • Backend Framework
    DjangoFlaskFastAPI
Special note from freelancer
I am an AI Gold Medalist and Technical Lead with expertise in both research and deployment. I bridge complex AI logic and backend engineering, delivering scalable and secure architectures that meet the highest technical standards.
FAQs
Which backend framework and database do you recommend?

I primarily use FastAPI for its speed and asynchronous capabilities. For data, I recommend PostgreSQL or Supabase. If your project involves AI search, I will implement pgvector to handle vector embeddings efficiently within your primary database.

Is the API secure for production use?

Yes. Every backend I build follows industry security standards, including OAuth2 with JWT (JSON Web Tokens), password hashing using Passlib, and strict input validation via Pydantic to prevent injection and data corruption.

What is your process for ensuring code quality?

I follow a "clean code" philosophy. This includes type-hinting, modular project structures (separating routes, schemas, and services), and detailed code comments. My goal is to deliver a codebase that is easy for any other developer to scale or maintain in the future.

Do you use simple AI wrappers or custom-built architectures?

I do not build simple wrappers. As an AI researcher and Gold Medalist, I architect scalable systems using LangChain, LangGraph, and RAG pipelines. My approach focuses on data grounding, minimizing hallucinations, and ensuring your AI logic is integrated deeply into a high-performance FastAPI backend

Raqeeb

Raqeeb

AI & Machine Engineer |Backend Developer |Full stack developer

AI Gold Medalist specializing in production-ready AI apps and high-performance REST APIs. I architect scalable systems where ML meets backend efficiency. AI/ML: RAG, LangChain/LangGraph, MLOps, Computer Vision. Backend: Python, FastAPI, Pydantic, PostgreSQL. Full-Stack: React 18, TypeScript, Tailwind. I handle the full lifecycle from model optimization to responsive frontends—delivering clean, industry-standard code.

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