You will get Python RAG & LLM knowledge base for accurate AI document Q&A
Project details
If your team is spending hours searching documents for answers that a RAGpowered Artificial Intelligence system could retrieve in seconds from your own data, your
Machine Learning stack is incomplete.
A complete RAG (Retrieval Augmented Generation) system powered by a fine-tuned or
prompted LLM, built end-to-end in Python with Deep Learning embeddings, vector database
storage, and NLP preprocessing. The Artificial Intelligence system indexes your internal
documents, PDFs, wikis, databases, support tickets, and answers complex questions
with cited sources and confidence scores. Built on LangChain or LlamaIndex with Pinecone,
Weaviate, or ChromaDB, the Machine Learning retrieval pipeline delivers production-grade
accuracy with full auditability.
Machine Learning stack is incomplete.
A complete RAG (Retrieval Augmented Generation) system powered by a fine-tuned or
prompted LLM, built end-to-end in Python with Deep Learning embeddings, vector database
storage, and NLP preprocessing. The Artificial Intelligence system indexes your internal
documents, PDFs, wikis, databases, support tickets, and answers complex questions
with cited sources and confidence scores. Built on LangChain or LlamaIndex with Pinecone,
Weaviate, or ChromaDB, the Machine Learning retrieval pipeline delivers production-grade
accuracy with full auditability.
AI Development Type
Deep Learning, Model TuningAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 8 days |
Number of Revisions | 1 | 2 | 4 |
AI Model Integration | - | - | |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
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DH
Daniyal H.
Jun 13, 2026
Python Developer Needed to Debug Infinite Loop in Data Processing Script ($5/hr)
Excellent experience. Uzair quickly fixed the issue and was great to work with. Highly Recommended!
DM
Danish M.
Apr 1, 2026
ML Engineer for Model Fine-Tuning (LLM / AI Model Optimization)
Uzair is an exceptional AI/ML engineer who combines deep technical expertise with a practical, results-driven mindset. He consistently delivers high-quality models, from fine-tuning to production-ready deployment, and is a true expert in optimizing performance.
HQ
Hatim Q.
Jan 12, 2026
Full-Stack Developer (LLM, JavaScript, Python, Django)
Uzair is an exceptional software engineer with excellent technical skills and professionalism. He completed the task efficiently and exceeded expectations. I highly recommend him for any software development project.
SR
Syed Husnain R.
Jan 6, 2026
Quick DevOps Bug Fix - Simple Troubleshooting Task
Thanks a ton! Uzair really brought his A-game to this deployment and made it seamless. His DevOps expertise is definitely worth leveraging for any big project.
About Uzair
AI/ML Engineer | LLM Fine-Tuning, NLP, PyTorch & Python AI Systems
81%
Job Success
Bahawalpur, Pakistan - 1:09 pm local time
I build production-ready AI systems that help startups and businesses automate workflows, improve decision-making, and turn complex ideas into scalable products.
My expertise focuses on LLM fine-tuning, NLP applications, Machine Learning, and Python-based AI development, with an emphasis on reliability, performance, and real-world deployment.
Recent Client Feedback:
⭐ “Uzair is an exceptional AI/ML engineer who combines deep technical expertise with a practical, results-driven mindset.”
⭐ “Consistently delivers high-quality models, from fine-tuning to production-ready deployment.”
⭐ “Exceptional software engineer with excellent technical skills and professionalism.”
⭐ “Demonstrates ownership and accountability for achieving results.”
I focus on building scalable and maintainable AI solutions that work reliably in production, not just prototypes or experiments.
I’ve helped clients:
🔹Fine-tune and optimize LLM models for production use
🔹Develop AI-powered applications with Python and Django
🔹Build intelligent NLP and chatbot solutions
🔹Troubleshoot and deploy scalable backend systems
🔹Improve model performance, accuracy, and efficiency
Core Expertise:
✅ LLM Fine-Tuning & AI Model Optimization
✅ NLP Applications & AI Chatbots
✅ Machine Learning & Deep Learning
✅ Python, Django & FastAPI Development
✅ AI APIs & Backend Systems
✅ Deployment, Scaling & DevOps Support
Tech Stack:
Python • TensorFlow • PyTorch • Scikit-learn • Django • FastAPI • OpenAI API • LangChain • Docker • AWS • GCP
Whether you need:
⚡LLM fine-tuning,
⚡AI-powered applications,
⚡NLP systems,
⚡Python backend development,
⚡or end-to-end AI integration,
🚀 I can help take your project from idea to deployment with clean, efficient, and production-focused engineering.
📩 Send me a message with your project goals, and I’ll help you design a scalable, production-ready AI solution tailored to your business needs.
Steps for completing your project
After purchasing the project, send requirements so Uzair can start the project.
Delivery time starts when Uzair receives requirements from you.
Uzair works on your project following the steps below.
Revisions may occur after the delivery date.
Data Audit & Ingestion Plan
Inventory documents, define chunk strategy, and configure Python ingestion pipeline for Machine Learning embedding.
RAG Architecture Design
Select LLM, vector database, and Deep Learning embedding model. Design Artificial Intelligence retrieval and ranking logic.