You will get a scalable AI data pipeline with LLM & RAG integration
Project details
You will get a scalable AI data engineering solution designed for automation, intelligence, and real business impact. I’ve worked heavily with Python, LLMs, RAG architectures, Data bricks, Snowflake, and modern AI workflows to build high performance data pipelines and AI-powered applications.
What sets me apart is that I don’t just build basic integrations, I get my hands dirty with the full architecture including data ingestion, vector databases, retrieval systems, API integrations, workflow automation, and deployment optimization. Whether you need an AI chatbot, RAG pipeline, analytics workflow, or end-to-end AI data platform, I can handle the complete implementation from backend engineering to production deployment.
The final delivery will include clean, scalable code, optimized workflows, documentation, and a reliable production-ready solution built for performance, scalability, and long-term maintainability.
What sets me apart is that I don’t just build basic integrations, I get my hands dirty with the full architecture including data ingestion, vector databases, retrieval systems, API integrations, workflow automation, and deployment optimization. Whether you need an AI chatbot, RAG pipeline, analytics workflow, or end-to-end AI data platform, I can handle the complete implementation from backend engineering to production deployment.
The final delivery will include clean, scalable code, optimized workflows, documentation, and a reliable production-ready solution built for performance, scalability, and long-term maintainability.
Database Type
MySQL, MS SQL, SQLite, PostgreSQL, MongoDB, Azure Cosmos DBWhat's included
| Service Tiers |
Starter
$80
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Source Code |
Frequently asked questions
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About Moeed
Senior Agentic AI & Multi-Agent Engineer | Enterprise AI Employees
Lahore, Pakistan - 10:16 am local time
❤️ With 10 years of hardcore experience under my belt, I am the go-to expert for creating, optimizing, and deploying enterprise Agentic AI systems that don't just work—they excel.
🚀 Former Google-xWF Senior AI & Data Engineer who worked on high-impact AI and data initiatives for the Google Dataproc Regression CVE team.
🚀 Enterprise Experience
From optimizing AWS AI platforms for Western Digital, to modernizing Azure-based AI solutions for Clorox, streamlining enterprise AI automation for Coca-Cola US, developing AI-powered intelligent systems for Aramark, and enhancing enterprise AI platforms for Oshkosh Corporation, I deliver exceptional results.
🔥 What I Can Build For You
✔ Enterprise Agentic AI Systems
✔ Multi-Agent AI Workflows
✔ AI Employees & Business Automation
✔ LLM, RAG & Knowledge Systems
✔ AI Copilots & Enterprise Assistants
✔ AI Workflow Automation Platforms
⚙️ Core Expertise
🧠 Agentic AI
Multi-Agent Systems • AI Employees • AI Automation • AI Orchestration • AI Workflows
🧠 LLM Engineering
OpenAI • Claude • Gemini • RAG • MCP • Function Calling • AI Agents
🧠 AI Frameworks
LangGraph • CrewAI • AutoGen • OpenAI Agents SDK • LangChain
🧠 Cloud Platforms
AWS • Azure • GCP
🧠 Data & Knowledge Platforms
Databricks • Snowflake • PostgreSQL • BigQuery • Vector Databases
🧠 DevOps & Infrastructure
Docker • Kubernetes • CI/CD
📊 Recent Projects
⚡ Enterprise Multi-Agent AI Platform
⚡ AI Customer Support Automation
⚡ Enterprise RAG Knowledge Platform
⚡ AI Business Process Automation
⚡ Intelligent Enterprise AI Assistant
🤝 Why Clients Work With Me
✔ Enterprise-grade AI architecture
✔ Production-ready Agentic AI systems
✔ Secure & scalable AI platforms
✔ Multi-agent orchestration
✔ Clean and maintainable code
❤️ A trustworthy all-around developer with the ability to multi-task. Delivering high-quality results while meeting your business goals is my top priority.
I am negotiable on price and always up for a challenge.
𝗗𝗼𝗻'𝘁 𝗵𝗲𝘀𝗶𝘁𝗮𝘁𝗲 𝘁𝗼 𝗴𝗲𝘁 𝗶𝗻 𝘁𝗼𝘂𝗰𝗵 𝘄𝗶𝘁𝗵 𝗺𝗲. 𝗜 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗱𝗲𝗹𝗶𝗴𝗵𝘁𝗲𝗱 𝘁𝗼 𝗮𝘀𝘀𝗶𝘀𝘁 𝘆𝗼𝘂 𝘁𝗼𝗱𝗮𝘆.
📞 Feel free to leave a message.
Steps for completing your project
After purchasing the project, send requirements so Moeed can start the project.
Delivery time starts when Moeed receives requirements from you.
Moeed works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
Review project goals, datasets, APIs, and architecture requirements to finalize the AI solution workflow.
AI Pipeline Development
Build and integrate LLM, RAG, automation, database, and AI data engineering workflows using Python.