You will get a scalable backend API in Django or FastAPI with auth
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
PythonCoding Expertise
Performance Optimization, Security, DesignWhat's included
| Service Tiers |
Starter
$350
|
Standard
$750
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 5 days | 8 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 2 | 5 | 8 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$35Frequently asked questions
About Ramsha
AI Chatbot Developer | OpenAI API | LangChain | RAG | Python | Django
Islamabad, Pakistan - 10:23 am local time
Need more than a ChatGPT wrapper? I build production ready AI Chatbots, AI Agents, RAG systems, and LLM powered applications using Python, Django, FastAPI, LangChain, OpenAI API, Claude, Llama, and Vector Databases.
I'm Ramsha, a Full Stack engineer with 7+ years of hands-on experience. I help startups and businesses turn AI ideas into scalable products with secure backend architecture and clean, maintainable code.
Services I Offer:
• AI Chatbot Development
• OpenAI API Integration
• RAG (Retrieval Augmented Generation) Systems
• LangChain & AI Agent Development
• LLM Application Development
• Python Backend Development
• Django & FastAPI REST APIs
• Multi-Agent AI Workflows
• Vector Databases (Pinecone, ChromaDB, FAISS)
• AI SaaS Development
• Workflow Automation & API Integrations
Tech Stack:
Python • Django • FastAPI • Django REST Framework • OpenAI • LangChain • LangGraph • Claude • Llama • RAG • Pinecone • ChromaDB • PostgreSQL • Redis • Celery • Docker • AWS • GCP • GitHub Actions
If you're looking for an AI engineer who can design, build, and deploy reliable AI applications instead of just prototypes, let's build something users will actually use.
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