You will get a complete AI + AWS system designed for real business use
Top Rated
Top Rated
Project details
Most AI projects fail because they are built like demos, not systems.
They may work in a quick test, but once real users, real data, integrations, security, cost, and scaling come in, the cracks start showing. Founders do not need another AI experiment. They need something that fits the business, connects with existing tools, and can actually run in production.
This project helps you build a complete AI + AWS system designed for real business use. That can include AI Agent Development, AI Automation, Generative AI features, API Integration, backend workflows, and scalable AWS architecture.
I focus on building practical systems that reduce manual work, improve speed, and support real operations. Not overbuilt. Not fragile. Not just a chatbot sitting on top of your product.
The goal is simple: create an AI system that your team can use, your product can grow with, and your business can trust.
They may work in a quick test, but once real users, real data, integrations, security, cost, and scaling come in, the cracks start showing. Founders do not need another AI experiment. They need something that fits the business, connects with existing tools, and can actually run in production.
This project helps you build a complete AI + AWS system designed for real business use. That can include AI Agent Development, AI Automation, Generative AI features, API Integration, backend workflows, and scalable AWS architecture.
I focus on building practical systems that reduce manual work, improve speed, and support real operations. Not overbuilt. Not fragile. Not just a chatbot sitting on top of your product.
The goal is simple: create an AI system that your team can use, your product can grow with, and your business can trust.
AI Algorithms
Large Language Model, Multimodal Large Language Model, YOLOAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Medical Imaging, AIOps, Conversational AI, Image Analysis, Image Processing, Image Recognition, Natural Language Understanding, Sentiment AnalysisAI Development Language
PythonAI Tools
GitHub Copilot, Gradio, Hugging Face, PyTorch, Streamlit, TensorFlowAI Models
ChatGPT, DALL-E, GPT-3, GPT-4, LLaMA, OpenAI Codex, WhisperWhat's included $700
These options are included with the project scope.
$700
- Delivery Time 7 days
- Number of Revisions 5
- AI Model Integration
- Database Integration
- MLOps
- Model Deployment
- Model Testing & Optimization
- Model Tuning
- Natural Language Processing
- Prompt Engineering
- Setup File
- Source Code
Frequently asked questions
31 reviews
(29)
(2)
(0)
(0)
(0)
This project doesn't have any reviews.
JA
Jason A.
Apr 10, 2025
AWS architect and devops
TH
Trevor H.
Feb 14, 2025
AWS Lambda Function for S3 GDA Image Retrieval, Zip Packaging, and Email Notification Integration
thorough and effective
RS
Roby S.
Feb 8, 2025
30 minute consultation
DG
Devon G.
Nov 25, 2024
Switch out AWS Cognito hosted sign up/sign in for custom template
Muhammad was fantastic, he successfully completed the tasks I asked for in a timely manner. I would definitely work with him again.
GD
Greg D.
Nov 25, 2024
Optimize AWS Costing and Utilization
About Muhammad
AI Product Developer | AI Engineer | AI Agent Developer | AWS Expert
96%
Job Success
Karachi, Pakistan - 3:26 pm local time
I’m an AI Engineer who builds production ready AI systems that actually work and generate revenue. I design system with AI Automation, API Integration, and scalable Cloud Architecture on AWS so your product runs reliably, not just in theory.
You don’t need a full team to build and scale your product. I handle AI development, API integration, and cloud architecture end-to-end so you move faster with fewer moving parts.
Over the last 8 years, I’ve worked across AI, backend, and cloud, building systems used by real
businesses:
→ AI recommendation engine serving 50,000+ Shopify stores with millions of daily requests
→ PCI-compliant financial platform with real-time processing and multi-tenant architecture
→ AI-powered accounting SaaS using RAG Pipeline and semantic search
→ Multi-tenant logistics and eCommerce platforms with full Workflow Automation
What I can help you with:
→ AI Automation and Workflow Automation to replace manual work
→ AI Agent Development and Multi-Agent Systems for real business use cases
→ AI integration into SaaS products, CRMs, and internal tools
→ Generative AI, AI Chatbot Development, and Conversational AI systems
→ Scalable AI App Development using Serverless Architecture (AWS Lambda, Amazon Bedrock)
→ End-to-end API Integration across third-party services and platforms
→ Production-ready systems with proper CI/CD Pipeline, performance, and cost optimization
Why clients work with me:
→ Focus on production ready AI products, not prototypes or experiments
→ Strong in AI + backend + AWS (not just one piece)
→ Experience with systems handling millions of requests and real users
→ Clean architecture, scalability, and long-term maintainability
Core stack:
AI: Generative AI, AI Agents, RAG Pipeline, LangChain, OpenAI, Claude, Amazon Bedrock
Backend: Node.js, Python, REST, GraphQL
Cloud: AWS Lambda, DynamoDB, Step Functions, EventBridge
Automation: Workflow Automation, CRM Automation, API Integration
Infra: CI/CD Pipeline, Docker, Kubernetes
If you're building an AI product on AWS and need someone to handle end-to-end product development with scalability, cost efficiency, and long-term architecture in mind, let’s talk.
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.
System Review & Architecture Plan
I will review your business workflow, define the AI use case, and design a practical AWS-based architecture before development begins.