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
Senior AI/ML Engineer | NLP | MLOps | Backend APIs | Python Developer
100%
Job Success
Reading, United Kingdom - 4:45 am local time
With 7+ years of experience in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and MLOps, I specialize in developing intelligent systems that are reliable, secure, and optimized for long-term scalability. My expertise includes AI automation, AI SaaS platforms, chatbot development, document processing systems, AI agents, recommendation engines, vector databases, embeddings, prompt engineering, fine-tuning, and end-to-end ML deployment.
I build high-performance backend architectures and APIs using Python, FastAPI, Django, Flask, Node.js, PostgreSQL, Docker, and cloud technologies. From ETL pipelines and data engineering workflows to AI integrations with OpenAI, Claude, Gemini, Groq, DeepSeek, and custom LLM infrastructures, I create solutions that integrate smoothly into existing business systems while reducing manual workload and operational costs.
My focus is not only on writing code but on solving real business bottlenecks. Many companies waste time managing repetitive tasks, handling unstructured data, or using AI tools that are difficult to scale or maintain. I design clean, scalable architectures with strong MLOps practices, monitoring, optimization, and production stability so businesses can confidently rely on AI in real-world operations.
I have experience building AI-powered SaaS applications, RAG knowledge bases, automation platforms, cloud-native AI systems, intelligent search engines, multi-model AI routing systems, and enterprise-grade backend APIs. Every solution is designed with performance, maintainability, security, and business growth in mind.
If you are looking for an AI engineer who understands both advanced AI technologies and real business challenges, I can help turn your ideas into scalable, production-grade AI products that deliver measurable results.
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.