You will get a custom AI agent system that automates your business workflows
Project details
A single "do everything" AI agent looks good in a demo and breaks in production. I build multi-agent systems where each agent has one clear job — classification, research, data extraction, follow-up — so the system stays reliable and easy to debug as it scales. What I deliver: Task-Specific Agents — each agent handles one part of the workflow instead of one oversized agent trying to do everything. RAG Integration — agents that answer from your documents, database, or knowledge base instead of guessing. Tool & API Integration — agents that call your APIs, update your CRM, or trigger real actions, not just generate text. Human-in-the-Loop — approval steps built in wherever a decision shouldn't be fully automated. Where this fits: businesses that need AI to complete tasks, not just answer questions; teams whose current "AI agent" is one fragile prompt; workflows that need AI connected to real data and systems, not a sandbox. My background combines AI/LLM development with automation and full-stack engineering, so your agent system connects directly to the tools you run instead of living in isolation. Let's build an agent system that holds up in production.
AI Algorithms
Large Language ModelAI Applications
Conversational AIAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$249
|
Standard
$699
|
Advanced
$1,299
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 18 days |
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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About Jawad
AI Automation Engineer | AI Agents, n8n & GoHighLevel Specialist
100%
Job Success
Lahore, Pakistan - 9:06 pm local time
I'm Jawad Ahmad, an AI Automation Engineer with 5+ years building production AI and automation systems for startups and growing businesses. I combine AI/LLM engineering with real software development, so I'm not limited to what a no-code tool can do - when a workflow needs custom logic, an API that doesn't exist yet, or a database behind it, I build that too.
What I build:
- AI agents & multi-agent systems (sales, support, lead qualification, internal assistants)
- Workflow automation in n8n, Make, Zapier, and GoHighLevel - CRM, email, and lead workflows included
- LLM integrations: OpenAI, Claude, Gemini, RAG systems, custom chatbots and knowledge assistants
- API integrations and custom REST APIs connecting your CRM, SaaS tools, and internal systems
- AI voice agents for appointment setting, lead qualification, and support (Vapi, ElevenLabs)
- Full-stack AI applications and dashboards (Next JS, React, Node JS, PostgreSQL)
I design for reliability first: error handling, retry logic, logging, and human-in-the-loop approval where it matters - not one oversized "do everything" agent that breaks when a single step fails.
100% Job Success on Upwork. If you've got a manual process eating hours every week, or an idea for an AI-powered product, let's talk about the simplest system that actually solves it.
Steps for completing your project
After purchasing the project, send requirements so Jawad can start the project.
Delivery time starts when Jawad receives requirements from you.
Jawad works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Workflow Mapping
understand the task, edge cases, and where automation should (and shouldn't) decide
Agent Architecture
design which agent does what, and how they hand off work