You will get AI agents that handle repetitive tasks without hiring

Muhammad M.Status: Offline
Muhammad M. Muhammad M.
4.9
Top Rated

Let a pro handle the details

Buy Generative AI services from Muhammad, priced and ready to go.
Muhammad M.Status: Offline
Muhammad M. Muhammad M.
4.9
Top Rated

Let a pro handle the details

Buy Generative AI services from Muhammad, priced and ready to go.

Project details

Hiring more people for repetitive work gets expensive fast. It also slows down your team when simple tasks keep pulling attention away from growth, customers, and product work.

This project helps you replace repetitive manual tasks with practical AI agents that can handle structured workflows, routine operations, data movement, and simple decision-based actions inside your existing process.

I will review the task you want to automate, understand the tools involved, and build an AI agent designed to reduce manual effort without adding unnecessary complexity. The goal is not to create a flashy demo. The goal is to create a useful automation that saves time, improves consistency, and helps your team do more without immediately hiring more people.

If your team is spending too much time on repeated tasks, this is a focused way to start automating that work with AI.
AI Algorithms
Large Language Model, Multimodal Large Language Model
AI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Medical Imaging, Conversational AI, Image Analysis, Image Processing, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Text Recognition
AI Development Language
Python
AI Tools
Hugging Face, PyTorch, Streamlit, TensorFlow
AI Models
ChatGPT, GPT-3, GPT-4, LLaMA, OpenAI Codex, Whisper

What's included $500

These options are included with the project scope.

$500
  • Delivery Time 14 days
  • Number of Revisions 5
    • AI Model Integration
    • Database Integration
    • MLOps
    • Model Deployment
    • Model Monitoring
    • Model Tuning
    • Natural Language Processing
    • Pre-Training
    • Prompt Engineering
    • Setup File
    • Source Code

Frequently asked questions

4.9
31 reviews
94% Complete
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JA

Jason A.
5.00
Apr 10, 2025
AWS architect and devops

TH

Trevor H.
5.00
Feb 14, 2025
AWS Lambda Function for S3 GDA Image Retrieval, Zip Packaging, and Email Notification Integration thorough and effective

RS

Roby S.
5.00
Feb 8, 2025
30 minute consultation

DG

Devon G.
5.00
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.
3.70
Nov 25, 2024
Optimize AWS Costing and Utilization
Muhammad M.Status: Offline

About Muhammad

Muhammad M.Status: Offline
AI Product Developer | AI Engineer | AI Agent Developer | AWS Expert
96% Job Success
4.9  (31 reviews)
Karachi, Pakistan - 5:59 am local time
Most AI projects fail after launch. They work in demos, but break when real users, real data, and scale hit.

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 Review & Agent Plan

I will review your workflow, identify where an AI agent can reduce manual effort, and create a clear plan before building the automation.

Review the work, release payment, and leave feedback to Muhammad.