You will get I will build Custom AI Agents and RAG Chatbots to Automate Your Workflows

Let a pro handle the details

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

Let a pro handle the details

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

Project details

Most freelancers offer simple "wrappers" around ChatGPT. I build Agentic AI Systems—intelligent agents that can reason, retrieve private data, and execute complex workflows to automate your business.

Why Choose Me? I am not just a coder; I am an AI Engineer who has built production-grade systems for high-stakes environments, including the Indonesian House of Representatives (DPR RI). I specialize in Retrieval-Augmented Generation (RAG), ensuring your AI answers accurately based on your documents, not hallucinations.

What You Get:
True "Chat with Data": I don't just dump text into a prompt. I build sophisticated vector retrieval pipelines (RAG) so your bot understands 100+ page PDFs, legal contracts, or financial reports.
Action-Oriented Agents: My agents don't just talk; they do. Using frameworks like LangChain and CrewAI, I can build agents that analyze spreadsheets, query SQL databases, or trigger APIs.

Whether you need a simple prototype or a scalable cloud-deployed agent on Azure/GCP, I deliver code that is clean, documented, and ready for the real world.
AI Algorithms
Large Language Model, Transformer Model
AI Applications
AI Chatbot, AI Text-to-Image, AI-Enhanced Medical Imaging, AI-Generated Music, AI-Generated Video, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Text Recognition
AI Development Language
Python
AI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, Microsoft 365 Copilot, PyTorch, Streamlit, TensorFlow
AI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-Neo, LLaMA, OpenAI Codex, Whisper
What's included
Service Tiers Starter
$100
Standard
$450
Advanced
$1,200
Delivery Time 3 days 7 days 14 days
Number of Revisions
123
AI Model Integration
Batch Normalization
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Database Integration
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Detailed Code Comments
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Image Upscaling
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MLOps
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Model Deployment
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Model Documentation
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Model Monitoring
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Model Testing & Optimization
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Model Tuning
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Natural Language Processing
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NLP Tokenization
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Pre-Training
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Prompt Engineering
Setup File
Source Code
Optional add-ons You can add these on the next page.
Cloud Hosting Setup (Azure/GCP) (+ 3 Days)
+$150

Frequently asked questions

Muhammad Iqbal H.Status: Offline
Muhammad Iqbal H.Status: Offline
AI Agent and RAG Systems Developer - LangChain, LangGraph, Python
Bekasi, Indonesia - 11:16 am local time
I build AI agents and RAG systems that solve real business problems — not demos, but production-ready systems with measurable outcomes.
Recent work includes a real-time voice interview agent achieving 400–800ms round-trip latency with automated scoring, a RAG system that cut legal document research time by 70% for a government institution, and a financial wellness agent running on a serverless stack at under $11/month after a 95% infrastructure cost reduction.
What I bring to your project:

Agentic AI systems using LangGraph, CrewAI, and OpenAI Agents SDK
RAG pipelines with hybrid retrieval, reranking, and evaluation — not just basic vector search
LLM integration with function calling, structured outputs, and guardrails
Cloud deployment on AWS, GCP, and Azure with Docker and Terraform
Python, FastAPI, SQL, and the full data science stack when analysis is part of the scope

I also hold the IBM AI Engineering Professional Certificate and the AWS Generative AI with LLMs certification, and have trained 100+ enterprise professionals at major Indonesian corporations on production LLM workflows.
If you need an AI agent built, a RAG system designed properly, or an existing pipeline debugged and optimized — I can deliver it.

Steps for completing your project

After purchasing the project, send requirements so Muhammad Iqbal can start the project.

Delivery time starts when Muhammad Iqbal receives requirements from you.

Muhammad Iqbal works on your project following the steps below.

Revisions may occur after the delivery date.

Discovery & Data Review

I will analyze your requirements and inspect your raw data (PDFs, CSVs, etc.) to ensure it's clean and ready for AI processing. We will define the agent's personality and specific guardrails.

RAG Pipeline & Core Logic

I will build the backend: setting up the Vector Database (ChromaDB/Pinecone), writing the retrieval logic, and engineering the system prompts to ensure the AI answers accurately based *only* on your data.

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