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I will be generative ml ai llm engineer ai chatbot ai agent python full stack developer
Abdullah Rafi
Level 1
About this gig
Need AI That Works With Your Business Data, Not Just Another Chatbot?
I help startups, SaaS founders, and growing businesses build production-ready AI solutions that automate workflows, unlock company knowledge, and turn ideas into scalable products.
As an IBM-certified Senior Software Engineer with 7+ years of experience, I specialize in Python, OpenAI, LangChain, LangGraph, LlamaIndex, and vector databases.
What You'll Get:
- RAG Systems: AI assistants that answer questions from your documents and private business data.
- AI Chatbots & Agents: Automate customer support, business tasks, and workflows.
- AI Backend & API Development: Secure, scalable integrations for your existing products.
- AI SaaS Applications: Build and deploy AI-powered products from MVP to production.
- Vector Search: Improve information retrieval with semantic search.
- LLM Integration & Prompt Engineering: Tailor AI behavior to your use case.
- Deployment & Maintenance: Production-focused delivery with 30 days of post-delivery support.
Why Work With Me?
- 7+ years of software engineering experience
- IBM AI/RAG certification
- Scalable, practical solutions
- Free consultation
Let's build AI that solves a real business problem
Get to know Abdullah Rafi
Abdullah Rafi
Building Custom Scalable AI SaaS Products
Level 1
- FromPakistan
- Member sinceFeb 2020
- Avg. response time1 hour
- Last delivery1 month
Languages
English
Senior Full-Stack Engineer with 7+ years experience building scalable apps.
I specialize in React, Node.js, Django, and modern UI frameworks. Backed by an IBM Gen AI certification, I also develop intelligent AI features using LLMs and RAG. I build responsive websites and robust REST APIs optimized for performance. I deliver clean, tested code focusing on UX. You get clear communication, on-time delivery, 30-day free support, and a money-back guarantee.
Let's get on a quick call ⭐
My Portfolio
Other Software Development Services I Offer
FAQ
What types of AI solutions can you develop?
I can develop AI chatbots, RAG systems, AI agents, LLM-powered SaaS applications, semantic search systems, AI APIs, document Q&A systems, and custom Generative AI solutions using Python and modern LLM technologies.
Can you build a custom RAG system for my business data?
Yes. I can build an end-to-end RAG pipeline including document processing, chunking, embeddings, vector database integration, retrieval, reranking, prompt engineering, LLM integration, evaluation, and deployment.
Can you integrate OpenAI or other LLMs into my application?
Yes. I can integrate OpenAI and other supported LLM providers into web applications, APIs, chatbots, RAG pipelines, and AI agents based on your project requirements.
Can you build an AI chatbot trained on my documents or company knowledge?
Yes. I can build a custom chatbot that can retrieve information from PDFs, websites, databases, knowledge bases, or other business documents using RAG and vector search.
Do you develop AI agents?
Yes. I can develop AI agents capable of using tools, APIs, databases, web services, and custom workflows to perform multi-step tasks.
Can you develop the complete AI application, including the frontend and backend?
Yes. I can develop full-stack AI applications, including the Python backend, APIs, database/vector database integration, LLM layer, and frontend interface.
Which technologies do you work with?
I primarily work with Python, OpenAI, LangChain, LangGraph, LlamaIndex, vector databases, REST APIs, PostgreSQL, and modern frontend technologies. The exact technology stack depends on your project requirements.
Can you work with my existing application or codebase?
Yes. I can integrate AI functionality into an existing application, improve an existing RAG pipeline, add LLM features, optimize AI workflows, or troubleshoot existing AI implementations.
Can you deploy the AI application to the cloud?
Yes. I can help deploy production-ready AI applications and APIs to cloud environments and configure the required application infrastructure.
