You will get a scalable backend API in Django or FastAPI with auth

Let a pro handle the details

Buy Web Application Programming services from Ramsha, priced and ready to go.

Let a pro handle the details

Buy Web Application Programming services from Ramsha, priced and ready to go.

Project details

I build backend systems that hold up under real usage — not just CRUD scaffolding. My stack is Django, Flask, and FastAPI with PostgreSQL, Celery, and Redis for anything async. I design the database schema first so it doesn't need a rewrite at 10x scale, then build clean, documented APIs on top. I've built and deployed production systems end-to-end, including async task queues and third-party service integrations (SMTP alerts, messaging APIs, payment flows).
Programming Languages
Python
Coding Expertise
Performance Optimization, Security, Design
What's included
Service Tiers Starter
$350
Standard
$750
Advanced
$1,500
Delivery Time 5 days 8 days 14 days
Number of Revisions
123
Number of Pages
258
Design Customization
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Content Upload
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Responsive Design
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Source Code
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Optional add-ons You can add these on the next page.
Fast Delivery
+$35

Frequently asked questions

Ramsha K.Status: Offline
Ramsha K.Status: Offline
Full-Stack AI Engineer | Django Backend Architect | LLM & Agentic AI
Islamabad, Pakistan - 12:48 am local time
Stop building AI prototypes. Start deploying production-ready AI products.

I bridge the gap between "AI as a concept" and "AI as a functioning product." As a Full-Stack Engineer specializing in Django and Generative AI, I build scalable backends that power intelligent autonomous agents and RAG-based systems.

How I help you win:

Agentic AI Workflows: Specialized bots that research, execute, and automate tasks using your unique data.

Robust Django Backends: Enterprise-grade REST APIs (DRF) designed for security and extreme scalability.

Custom AI Tools: Internal dashboards and SaaS platforms built with OpenAI, LangChain, and Vector Databases (Pinecone/Chroma).

Full-Cycle Delivery: From initial architecture to Dockerized deployment on AWS/GCP.

Technical Toolkit:

AI/ML: GPT-4, Claude, Llama 3, RAG, Prompt Engineering, LangChain.

Backend: Django, Django REST Framework, Celery, Redis, FastAPI.

Databases: PostgreSQL, MongoDB, MySQL

Cloud/DevOps: Docker, Nginx, AWS, GCP, GitHub Actions.

My goal is to turn your complex technical requirements into a clean, maintainable, and profitable application. Let’s discuss your project!

Steps for completing your project

After purchasing the project, send requirements so Ramsha can start the project.

Delivery time starts when Ramsha receives requirements from you.

Ramsha works on your project following the steps below.

Revisions may occur after the delivery date.

Requirements & schema design

map out your data model and API contract

Auth & permissions

token-based auth, role/permission structure

Review the work, release payment, and leave feedback to Ramsha.