You will get Custom GenAI Apps with RAG, Agents and LLM Integration
Top Rated
Project details
This project delivers high-quality GenAI applications built using RAG pipelines, powerful LLMs, and intelligent AI agents. What sets my work apart is the combination of deep Python engineering expertise and practical AI experience, ensuring your solution is not only functional but reliable, scalable, and ready for real-world use.
I specialize in building complete end-to-end AI systems — from data processing and vector search to retrieval logic, prompt engineering, agent workflows, and clean API development using FastAPI or Django. Each deliverable is tailored to your business needs, whether it’s an AI assistant, a knowledge-based RAG app, a multi-agent workflow, or a custom LLM integration.
With over 6 years of experience in Python and modern AI frameworks like LangChain, CrewAI, AutoGen, and OpenAI APIs, I focus on clarity, communication, and fast turnaround. You’ll receive a well-structured, production-ready AI solution with clean code and easy-to-extend architecture.
If you’re looking to add AI capabilities to your product or build an intelligent system from scratch, this project gives you a reliable, future-ready foundation.
I specialize in building complete end-to-end AI systems — from data processing and vector search to retrieval logic, prompt engineering, agent workflows, and clean API development using FastAPI or Django. Each deliverable is tailored to your business needs, whether it’s an AI assistant, a knowledge-based RAG app, a multi-agent workflow, or a custom LLM integration.
With over 6 years of experience in Python and modern AI frameworks like LangChain, CrewAI, AutoGen, and OpenAI APIs, I focus on clarity, communication, and fast turnaround. You’ll receive a well-structured, production-ready AI solution with clean code and easy-to-extend architecture.
If you’re looking to add AI capabilities to your product or build an intelligent system from scratch, this project gives you a reliable, future-ready foundation.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Transformer Model, YOLOAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, Conversational AI, Image Analysis, Image Processing, Image Recognition, Natural Language Generation, Speech Synthesis, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Jasper AI, PyTorch, Replit, Streamlit, TensorFlowAI Models
BERT, ChatGPT, DALL-E, Dolly, GPT-3, GPT-4, LLaMA, Midjourney AI, WhisperWhat's included
| Service Tiers |
Starter
$180
|
Standard
$450
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 3 | 7 | 10 |
AI Model Integration | - | ||
Batch Normalization | - | - | |
Database Integration | |||
Detailed Code Comments | |||
Image Upscaling | - | ||
MLOps | - | ||
Model Deployment | - | ||
Model Documentation | |||
Model Monitoring | |||
Model Testing & Optimization | |||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | - | ||
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | |||
Source Code |
Frequently asked questions
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AC
Ansh C.
Feb 3, 2026
Python + PyQt5 Custom Application for Windows Only
Kishan did an amazing job. He created complex software like a professional, would recommend to anyone looking for custom software.
MS
Majeed S.
Jan 27, 2026
Flask/React - Full stack developer - Adhoc work - flexible
Great experience with Kishan. I would recommend him for your software engineering needs.
mK
michael K.
Dec 30, 2025
Remaining payment
Great attitude, quality work, very helpful
mK
michael K.
Dec 23, 2025
Automate Parsing of Hard Disk Sentinel Reports
AG
Arpit G.
Dec 10, 2025
Python Development
Kishan is very proactive and skilled developer.
About Kishan
Python Backend Engineer | FastAPI, Django & GenAI Integration
100%
Job Success
Mohali, India - 1:54 am local time
Backend and APIs
This is the core of what I do. REST APIs in Django and FastAPI, built to handle production traffic rather than just pass a quick test. Auth with JWT and OAuth, payments through Stripe and Razorpay, PostgreSQL and MongoDB schema design and indexing, and background jobs on Celery and Redis. With third-party integrations, I handle the part most people skip: what the system does when the external service is slow, down, or returning errors.
GenAI integration
On the deeper end, I build agentic systems in LangChain and LangGraph: custom tools, multiple agents working together, and proper memory and context handling across a workflow, with tool calls connected to the actual backend. On the everyday end, that's chatbots, content generation, automation, and retrieval over a client's own data (RAG) where it fits. I work across OpenAI, Claude, and Gemini, and I trace LLM calls and track token spend, because in production the cost matters as much as the output. What I care about is that the AI sits on a solid system — auth, a database, error handling, retries — so it behaves like a feature, not a science project.
Deployment
I deploy what I build. Docker, AWS or DigitalOcean, so the work goes out live and running, not handed over as a folder of code someone else has to figure out.
How I work
I ask questions before I write anything, because the wrong assumption early gets expensive later. I deal with edge cases instead of hoping they won't show up. I keep the code clean enough for the next person to read, I reply quickly, and I hit the dates I commit to.
Industries I've worked in: e-commerce, SaaS, education, logistics, and internal tools.
If you need a backend you can rely on — a new build, a broken system that needs sorting, or AI features that have to hold up in production — send me the details and I'll tell you how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Kishan can start the project.
Delivery time starts when Kishan receives requirements from you.
Kishan works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review
I review the details you share, understand your idea, and clarify any missing points so we can finalize the plan.
Project Planning & Architecture
I outline the AI workflow, RAG or agent structure, data needs, and technical approach for your approval.