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You will get AI Features Integrated into Your Existing Python Backend

Rajinder M.Status: Offline
Rajinder M. Rajinder M.
4.3
Preview image

Let a pro handle the details

Buy Generative AI services from Rajinder, priced and ready to go.
Rajinder M.Status: Offline
Rajinder M. Rajinder M.
4.3
Preview image

Let a pro handle the details

Buy Generative AI services from Rajinder, priced and ready to go.

Project details

You will get AI features integrated into your existing backend by an engineer who understands both sides — backend systems and AI.

Most AI engineers can't build a solid backend, and most backend engineers don't really understand AI systems. That gap is why so many AI features work in a demo but break in production. I do both, so the AI I add comes with proper authentication, database design, async processing, and cost control — built into your existing system, not bolted on.

Whether it's an LLM-powered feature, a RAG system, or AI automation, I integrate it cleanly so it runs reliably and doesn't slow down or destabilize what you already have.

With 70+ completed projects and experience on systems handling 50,000+ requests a day, I know where AI integrations break at scale — and how to prevent it.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer Model
AI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, Conversational AI, Image Analysis, Natural Language Generation, Natural Language Understanding
AI Development Language
Python
AI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Jasper AI, Microsoft 365 Copilot, Replit, Streamlit
AI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, LLaMA, OpenAI Codex
What's included
Service Tiers Starter
$250
Standard
$400
Advanced
$800
Delivery Time 5 days 7 days 10 days
Number of Revisions
246
AI Model Integration
Batch Normalization
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-
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Database Integration
-
Detailed Code Comments
Image Upscaling
-
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MLOps
-
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Model Deployment
-
Model Documentation
Model Monitoring
-
Model Testing & Optimization
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Model Tuning
-
-
Natural Language Processing
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NLP Tokenization
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Pre-Training
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Prompt Engineering
Setup File
Source Code

Frequently asked questions

4.3
41 reviews
63% Complete
(26)
20% Complete
(8)
7% Complete
(3)
5% Complete
(2)
5% Complete
(2)

KU

Kingsley U.
5.00
May 14, 2026
AI-Powered Video Generation Platform Work Rajinder has shown good understanding of the AI Video workflow we are building. He has been diligently implementing the project with good communication. We are looking forward to working with him long term and I would highly recommend him.

SS

Sohin S.
5.00
Apr 23, 2026
AI Agent Development Specialist Needed Was very thorough and prompt. Built an AI Agent.

TA

Talence A.
5.00
Feb 12, 2026
AI/NLP Developer (2-3 months) Skills Required: • Python (FastAPI, Flask), OpenAI/GPT, Google NLP

BA

Bola A.
5.00
Dec 17, 2025
Automation using n8n and AI

JL

Jordan L.
5.00
Nov 25, 2025
Backend Engineer (AWS Data Ingestion & Graph Recommender Transition)
Rajinder M.Status: Offline

About Rajinder

Rajinder M.Status: Offline
Senior Python Backend Engineer | Scalable Systems & API Architecture
92% Job Success
4.3  (41 reviews)
Jawalamukhi, India - 12:42 pm local time
I build Python backend systems that hold up as they grow — designed properly from the start, so you're not rebuilding them a year later when traffic or features outpace the original setup.

Most backend problems aren't really about writing code. They come from decisions made early that get expensive later. I focus on getting those right: how the system is structured, how the data is modeled, where the bottlenecks will show up, and what to build now versus what to leave room for. That judgment is what separates a system that scales from one that gets rewritten.


What I do:

Backend & APIs — FastAPI and Django REST, built for real traffic. Versioned, well-structured APIs with proper error handling, pagination, and idempotency — not just happy-path code.

Architecture & scale — Multi-tenant SaaS systems with tenant isolation and role-based access. Structuring services and data flow so the system stays maintainable as it grows, not just on day one.

Data layer — PostgreSQL schema design, indexing, query optimization, and migrations without downtime. Redis for caching and queues.

Async & background work — Celery, event-driven workflows, webhook handling, and retries — the parts that need to keep working when external services don't.

Taking it to production — I deploy what I build: Docker, AWS/GCP, CI/CD, and monitoring. I own the system end to end, so nothing gets handed over half-finished.

When a system needs it, I also cover automation — n8n, Make, Zapier, or custom Python scripts — along with payment and third-party API integrations, so you get a complete build rather than parts to stitch together.


Why hire me:

70+ completed projects, $80K+ earned on Upwork, 5,500+ hours, and consistent 5-star reviews. Recent work includes a recruitment platform handling 50K+ requests/day, a multi-service exam platform, and multi-tenant SaaS systems running in production. The code is clean, documented, and maintainable, and I deliver on time.

If you need a senior engineer to build a backend that stays reliable long after launch — and to make the right calls while building it — message me.

Tech: Python, FastAPI, Django, PostgreSQL, Redis, Celery, Docker, AWS, GCP

Steps for completing your project

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

Delivery time starts when Rajinder receives requirements from you.

Rajinder works on your project following the steps below.

Revisions may occur after the delivery date.

Review your backend and plan integration

I review your existing codebase, stack, and the AI feature you need, then plan how to integrate it cleanly without disrupting your current system.

Build the AI integration

I integrate the LLM/AI feature into your backend — API endpoints, prompt handling, and the core logic, structured to fit your existing architecture.

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