You will get an AI Agent / Automation System
Project details
I design and build end-to-end AI agent systems that automate real business workflows, not demos or prototypes.
These systems use Claude/OpenAI models combined with multi-agent orchestration to handle tasks like research, decision-making, content generation, customer responses, and internal operations.
Each solution is built for production use with proper architecture, integrations, and scalability in mind.
What you get:
* Custom AI agent architecture (single or multi-agent systems)
* Workflow automation using LangGraph / CrewAI / custom orchestration
* Integration with APIs, databases, and tools (Slack, Telegram, CRMs, etc.)
* Memory + context systems using Postgres / vector databases (pgvector / Pinecone)
* Reliable error handling, retries, and fallback logic
* Deployment-ready system (cloud or server-based)
Tech stack:
Claude API, OpenAI API, LangGraph, Python, Node.js, Postgres, pgvector, Pinecone, REST APIs, AWS/Docker (if needed)
Outcome:
You get a working AI system that actually runs in production, saves time, and replaces manual processes with intelligent automation.
These systems use Claude/OpenAI models combined with multi-agent orchestration to handle tasks like research, decision-making, content generation, customer responses, and internal operations.
Each solution is built for production use with proper architecture, integrations, and scalability in mind.
What you get:
* Custom AI agent architecture (single or multi-agent systems)
* Workflow automation using LangGraph / CrewAI / custom orchestration
* Integration with APIs, databases, and tools (Slack, Telegram, CRMs, etc.)
* Memory + context systems using Postgres / vector databases (pgvector / Pinecone)
* Reliable error handling, retries, and fallback logic
* Deployment-ready system (cloud or server-based)
Tech stack:
Claude API, OpenAI API, LangGraph, Python, Node.js, Postgres, pgvector, Pinecone, REST APIs, AWS/Docker (if needed)
Outcome:
You get a working AI system that actually runs in production, saves time, and replaces manual processes with intelligent automation.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceWhat's included
| Service Tiers |
Starter
$500
|
Standard
$600
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 4 days | 3 days | 2 days |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
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IA
Iqra A.
May 12, 2026
AI Chat bot developer for educational App
Very good experience to work with Dawood. He is a talented AI/ML Engineer.
SR
SULEMAN R.
May 8, 2026
AI/ML Expert
Dawood has provided me best suggestion.
Nice to have work with him
Nice to have work with him
SR
SULEMAN R.
May 3, 2026
AI/Machine Learning Expert Needed for Translation System Enhancement
Dawood is really a hardworking AI/ML Engineer. He delivered an excellent work for me. I wish to hire him again in the future.
About Dawood
Full Stack AI Developer | AI Agents | LLMs,RAG | Python/React | Claude
100%
Job Success
Reading, United Kingdom - 12:30 am local time
📩 I build production-ready AI applications, AI Agents, Machine Learning solutions, AI SaaS platforms, scalable backend systems, and intelligent workflow automation that automate business operations, power intelligent products, and transform enterprise data into AI-driven solutions using LLMs, Generative AI, RAG, Python, FastAPI, Django, Node.js, React, Next.js, AWS Bedrock, and modern cloud technologies.
As an AI Developer, Python Backend Developer, and Full Stack Developer, I specialize in building intelligent software that combines Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), and robust backend engineering. I develop high-performance backend systems using Python, FastAPI, Django, Flask, Node.js, REST APIs, GraphQL, PostgreSQL, MongoDB, Redis, Docker, Kubernetes, and AWS, while delivering modern, responsive frontends using React, Next.js, TypeScript, JavaScript, and Tailwind CSS.
🚀 Core AI Expertise:
🔹 AI Development & AI Engineering
🔹 Machine Learning & Deep Learning
🔹 AI Agents & Multi-Agent Systems
🔹 Generative AI Applications
🔹 Large Language Models (LLMs)
🔹 Retrieval-Augmented Generation (RAG)
🔹 GraphRAG & Knowledge Graphs
🔹 AI Chatbots & Conversational AI
🔹 Voice AI & AI Voice Agents
🔹 AI Workflow Automation
🔹 AI SaaS Development
🔹 Enterprise AI Solutions
🔹 Document AI & OCR
🔹 Semantic Search & Knowledge Bases
🔹 Recommendation Systems
🔹 Backend Development
🔹 Full Stack Development
🔹 AI API Development
🤖 AI & LLM Technologies:
OpenAI • ChatGPT • GPT-5 • Claude • Gemini • AWS Bedrock • DeepSeek • Llama • Mistral • LangChain • LangGraph • CrewAI • AutoGen • MCP • LlamaIndex • Prompt Engineering • Function Calling • Structured Outputs • AI Agents • Multi-Agent Systems • RAG • GraphRAG • Embeddings • Vector Databases • Semantic Search • Fine-Tuning • Machine Learning • Deep Learning • MLOps
⚙️ Backend, Full Stack & Cloud:
Backend: Python • FastAPI • Django • Flask • Node.js • REST APIs • GraphQL • PostgreSQL • MongoDB • Redis
Frontend: React • Next.js • TypeScript • JavaScript • Tailwind CSS
Cloud & DevOps: Docker • Kubernetes • AWS • EC2 • Lambda • S3 • Bedrock • SageMaker • Nginx • CI/CD
📊 AI Automation & Data Engineering:
n8n • Make • Zapier • ETL Pipelines • API Integrations • Webhooks • OCR • Document Processing • Data Engineering • Web Scraping • Selenium • BeautifulSoup • Workflow Automation
📌 Services:
✔ AI Agent Development
✔ Multi-Agent Systems
✔ Machine Learning Solutions
✔ AI SaaS Development
✔ Full Stack AI Development
✔ Python Backend Development
✔ Backend API Development
✔ RAG Applications
✔ Enterprise Knowledge Bases
✔ AI Chatbot Development
✔ AI Voice Agents
✔ AI Workflow Automation
✔ LLM Integration
✔ AWS Bedrock Solutions
✔ FastAPI APIs
✔ Document AI Solutions
✔ Semantic Search
✔ Cloud Deployment
💡 Why Clients Hire Me:
✅ Production-ready AI solutions not prototypes
✅ Strong expertise in AI Agents, Machine Learning, LLMs, RAG, Python & Backend Development
✅ Scalable, secure, and maintainable software architecture
✅ End-to-end development from AI architecture to deployment
✅ Business-focused AI solutions that automate operations and improve productivity
✅ Clean, documented, and production-quality code
✅ Fast communication and reliable delivery
Whether you need an AI Developer, AI Engineer, Python Backend Developer, Full Stack Developer, Machine Learning Engineer, LLM Engineer, RAG Expert, AI Agent Developer, Generative AI Engineer, or AWS Bedrock Specialist, I can help you design, build, deploy, and scale production-ready AI solutions that deliver measurable business results.
𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀:
AI Developer • AI Engineer • Artificial Intelligence • Machine Learning • Generative AI • AI Agents • Agentic AI • Multi-Agent Systems • Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG) • GraphRAG • AI Automation • Workflow Automation • AI Chatbots • Voice AI • LangChain • LangGraph • LlamaIndex • MCP • OpenAI • Claude • Gemini • AWS Bedrock • Python • FastAPI • Django • Flask • Node.js • React • Next.js • PostgreSQL • MongoDB • Supabase • Docker • Kubernetes • Pinecone • Qdrant • ChromaDB • Vector Databases • Semantic Search • Prompt Engineering • Function Calling • Structured Outputs • MLOps • n8n • Make • Zapier • REST APIs • GraphQL • Enterprise AI • AI SaaS • Full Stack Development
Steps for completing your project
After purchasing the project, send requirements so Dawood can start the project.
Delivery time starts when Dawood receives requirements from you.
Dawood works on your project following the steps below.
Revisions may occur after the delivery date.
Analyze, design, build, test, integrate, and deploy the AI agent system.