You will get Production AI MVP in 48 Hours — LangChain, Claude, FastAPI
Rising Talent
Rising Talent
Project details
Stop waiting months for an MVP. I am a Lead AI-Native Developer specializing in rapid, production-grade AI applications.
The market is flooded with beginners who simply copy-paste generated scripts that break in production. I bring actual computer science engineering rigor to AI-native development. My 2025 Cursor AI usage report verifies my extreme efficiency: I have processed over 3.15 Billion tokens and orchestrated 7,800+ autonomous agents.
By leveraging elite models like Claude alongside my native Ubuntu development environment, I architect systems at unmatched speeds without sacrificing scalability, maintainability, or security. Whether you need a sophisticated LangChain workflow, a custom database integration, or a full-stack MVP, I build robust systems designed to handle real users.
Please review my portfolio below to see my verified enterprise-level AI applications and RAG systems. Let’s turn your idea into a deployed, revenue-ready MVP in days.
The market is flooded with beginners who simply copy-paste generated scripts that break in production. I bring actual computer science engineering rigor to AI-native development. My 2025 Cursor AI usage report verifies my extreme efficiency: I have processed over 3.15 Billion tokens and orchestrated 7,800+ autonomous agents.
By leveraging elite models like Claude alongside my native Ubuntu development environment, I architect systems at unmatched speeds without sacrificing scalability, maintainability, or security. Whether you need a sophisticated LangChain workflow, a custom database integration, or a full-stack MVP, I build robust systems designed to handle real users.
Please review my portfolio below to see my verified enterprise-level AI applications and RAG systems. Let’s turn your idea into a deployed, revenue-ready MVP in days.
AI Algorithms
Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Mobile App Development, AI-Generated Code, AIOps, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, PyTorch, Replit, Streamlit, TensorFlowAI Models
BERT, ChatGPT, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$79
|
Standard
$249
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
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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lL
lior L.
Dec 19, 2025
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About Muhammad
AI Engineer & Full-Stack Developer | Custom RAG & Agentic Systems
Tando Allahyar, Pakistan - 5:37 pm local time
Whether you need an AI agent, a Retrieval-Augmented Generation (RAG) platform, a computer vision pipeline, document intelligence, or a complete AI-powered web application, I design, develop, and deploy solutions that are reliable, scalable, and built for production not demos.
My work covers the complete AI engineering lifecycle, from architecture and backend development to deployment and long-term maintenance. I don't just connect APIs; I build systems that businesses can depend on every day.
My expertise includes:
• Large Language Model (LLM) Applications
• AI Agents & Multi-Agent Systems
• Retrieval-Augmented Generation (RAG)
• Model Context Protocol (MCP)
• AI Workflow Automation
• Computer Vision & OCR
• Document Intelligence
• Custom Chatbots & Internal Knowledge Bases
• FastAPI & Python Backend Development
• Full-Stack AI Applications
• REST APIs & Third-Party Integrations
• Docker & Cloud Deployment
• Vector Databases & Semantic Search
• AI Infrastructure & Production Architecture
Recent projects include:
AI Knowledge Platform
Designed and deployed a secure enterprise knowledge assistant capable of searching thousands of internal documents with source-backed responses, role-based access control, and production monitoring.
Document Intelligence Pipeline
Built an automated document processing system that extracts, classifies, validates, and structures information from PDFs, invoices, contracts, and business forms using modern AI techniques.
Autonomous AI Agent Workflow
Developed AI agents that research information, interact with external tools, analyze data, and generate structured reports with minimal human intervention.
Computer Vision Automation
Created production computer vision solutions for object detection, document understanding, and automated video analysis using deep learning models.
Handwritten Formula Recognition
Engineered an AI pipeline that converts handwritten mathematical expressions and technical diagrams into structured LaTeX with significantly reduced processing time.
What clients can expect when working with me:
• Clean, maintainable, production-quality code
• Scalable architectures designed for long-term growth
• Clear communication throughout the project
• Security-first development practices
• Comprehensive documentation
• Reliable post-deployment support
I work with startups, growing businesses, and enterprise teams looking to build AI software that delivers measurable business value rather than experimental prototypes.
If you're planning to build an AI product, automate a business process, modernize an existing application with AI, or launch a production-ready intelligent system, I'd be happy to discuss your project and recommend the most practical approach.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture & Scope Lock-in
We finalize the exact feature list, database requirements, and AI workflow. I set up the initial repository and development environment.
Rapid AI-Native Backend Development
Using Cursor and Claude, I rapidly build out the core logic, API endpoints (FastAPI), and integrate the necessary AI models or vector databases.