You will get a multi-agent AI system for complex workflows
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Top Rated
Project details
Some workflows are too complex for one chatbot or a simple AI prompt.
When a process has multiple steps, different tools, approvals, data sources, and decision points, a single AI assistant usually becomes messy fast. It either gives vague answers, misses context, or cannot take the right action at the right time.
This project is for building a multi-agent AI system where different AI agents can work together inside your workflow. One agent may collect information, another may analyze it, another may trigger actions, and another may prepare the final output.
I can design the system around your business process using AI Agent Development, Generative AI, AI Automation, and API Integration where needed. The goal is to create a practical agent-based workflow that reduces manual coordination, improves speed, and keeps your process easier to manage.
This is best for teams that have outgrown basic automation and need a smarter AI system for real operational complexity.
When a process has multiple steps, different tools, approvals, data sources, and decision points, a single AI assistant usually becomes messy fast. It either gives vague answers, misses context, or cannot take the right action at the right time.
This project is for building a multi-agent AI system where different AI agents can work together inside your workflow. One agent may collect information, another may analyze it, another may trigger actions, and another may prepare the final output.
I can design the system around your business process using AI Agent Development, Generative AI, AI Automation, and API Integration where needed. The goal is to create a practical agent-based workflow that reduces manual coordination, improves speed, and keeps your process easier to manage.
This is best for teams that have outgrown basic automation and need a smarter AI system for real operational complexity.
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 $1,500
These options are included with the project scope.
$1,500
- Delivery Time 14 days
- Number of Revisions 5
- AI Model Integration
- Database Integration
- MLOps
- Model Deployment
- Model Documentation
- Model Testing & Optimization
- Model Tuning
- Prompt Engineering
- Source Code
Frequently asked questions
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JA
Jason A.
Apr 10, 2025
AWS architect and devops
TH
Trevor H.
Feb 14, 2025
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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 - 12:47 am 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.
Workflow Mapping & Agent Design
I will map your workflow, define agent roles, and design how each AI agent will collaborate before building the system.