I will be generative ai ml llm ai agent ai chatbot python and full stack developer


Level 1
What people loved about this freelancer
lucasmason818

France
Very satisfied with the work. The LLM comparison was clear, well formatted, and covered GPT, Claude, Gemini, Llama, Mistral, and Qwen in a practical way. The...
anitakupka

Canada
The prompt review was really helpful and easy to understand. The rewritten prompts sounded much clearer and more natural, with useful suggestions for improving...
mary_gonzales1

United States
Delivered exactly as required. The AI chatbot demo was clean, well-structured, and included FastAPI backend, RAG-style logic, OpenAI/Llama-ready setup, screenshots, and clear documentation.
About this gig
I am a Senior AI/LLM Engineer with 9+ years of experience building scalable AI chatbots, LLM-powered SaaS platforms, AI agents, and intelligent RAG systems.
I specialize in developing production-ready AI solutions using Python, LangChain, LlamaIndex, OpenAI, vector databases, and modern cloud technologies. My focus is on building AI systems that are accurate, secure, scalable, and grounded in your business data.
What I can help you with:
- Custom RAG Systems: Build AI assistants using PDFs, databases, APIs, and enterprise knowledge bases.
- AI Agents & Chatbots: Develop LangChain/LangGraph-powered agents with tool calling, automation, reasoning, and API integrations.
- Full-Stack AI/SaaS Development: Build AI web applications, dashboards, and SaaS platforms using Python, FastAPI, React, and Next.js.
- Vector Database Integration: Deploy and optimize Pinecone, Chroma, pgvector, Weaviate, and Qdrant for high-performance retrieval.
- LLM Fine-Tuning & Prompt Engineering: Fine-tune models and optimize prompts for better accuracy and domain-specific performance.
- API & Cloud Deployment: Deploy scalable AI APIs with FastAPI, Docker, AWS, GCP, Kubernetes, and modern DevOps workflows.
Get to know Abdul Mannan
Expert Agentic AI, Langchain, GenAI, N8N, RAG, LLM, Full Stack Engineer
Level 1
- FromPakistan
- Member sinceApr 2019
- Avg. response time1 hour
- Last delivery2 days
Languages
Spanish, English, Chinese, Japanese, German, French, Dutch, Italian, Swedish, Arabic, Norwegian, Danish
My Portfolio
Other Software Development Services I Offer
FAQ
Q: What do I need to get started?
A: You’ll need your OpenAI (or others) API key, and any documents or knowledge base if you want retrieval (PDFs, text, URLs, etc.). I’ll handle setup and integration.
Q: What technologies do you use for the full stack?
A. I specialize in the modern, scalable stack: Python with FastAPI for the backend, LangChain/LlamaIndex for LLM orchestration, and Next.js/React for the frontend (AI Website). Everything is containerized with Docker for easy deployment.
Q: Can you deploy the system for me?
A: Yes! I’ll deploy your chatbot or full-stack app to Vercel, Render, or AWS and ensure it’s live and accessible.
Q: I'm not sure what I need. Can you help?
A: Absolutely. Message me with your business goal and the data you have. We can discuss your project in detail and define the most effective LLM SaaS platform architecture to meet your needs.
Q: What is the difference between a simple chatbot and an AI Agent?
A: A simple chatbot only answers based on pre-set knowledge. An AI Agent is much more powerful; it can reason, plan, and use tools (like fetching live data or performing calculations) to complete complex, multi-step tasks.
Q: Why do I need a RAG system if I'm using GPT-4?
A: Even the best LLMs have knowledge cut-offs and cannot access your private or proprietary data. A RAG system is essential because it grounds the LLM in your documents, guaranteeing accurate, company-specific answers and eliminating factual errors (hallucinations).
Q: What kind of data can your RAG system work with?
A. My RAG systems can index and retrieve information from almost any data source, including PDFs, CSVs, Excel, websites (sitemap/crawled data), Notion, databases
Q: Do you also design the UI/UX?
A: Absolutely — I can design a modern, minimal UI or integrate it into your existing website/app.
Q: Can the AI use my company data for answers?
A: Yes. That’s what RAG (Retrieval-Augmented Generation) does — it lets your AI reference your own documents securely.
7 reviews for this Gig
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Rating Breakdown
- Seller communication level
- Quality of delivery
- Value of delivery
Sort By
L lucasmason818
Repeat Client

France
Very satisfied with the work. The LLM comparison was clear, well formatted, and covered GPT, Claude, Gemini, Llama, Mistral, and Qwen in a practical way. The recommendation was useful for deciding the right model for my AI feature, and the delivery was quick with good communication.
Up to $50
Price
3 days
Duration
Helpful?A anitakupka

Canada
The prompt review was really helpful and easy to understand. The rewritten prompts sounded much clearer and more natural, with useful suggestions for improving AI response quality and choosing the right model for my use case
Up to $50
Price
7 days
Duration
Helpful?M mary_gonzales1
Repeat Client

United States
Delivered exactly as required. The AI chatbot demo was clean, well-structured, and included FastAPI backend, RAG-style logic, OpenAI/Llama-ready setup, screenshots, and clear documentation.
Up to $50
Price
6 days
Duration
Helpful?M messaoudiassia
Repeat Client

France
Great job !!!! Thank you !!!
$100-$200
Price
2 days
Duration
Helpful?C chaichan25
Repeat Client

United Kingdom
⭐⭐⭐⭐⭐ The chatbot integration was done nicely and worked well inside my existing web app. The widget looks clean, answers basic customer questions, and the OpenAI/Claude/Gemini API setup was handled properly. Overall, a smooth and useful delivery.
Up to $50
Price
6 days
Duration
Helpful?
7 reviews for this Gig
| (7) | ||
| (0) | ||
| (0) | ||
| (0) | ||
| (0) |
Rating Breakdown
- Seller communication level
- Quality of delivery
- Value of delivery
Sort By
L lucasmason818
Repeat Client

France
Very satisfied with the work. The LLM comparison was clear, well formatted, and covered GPT, Claude, Gemini, Llama, Mistral, and Qwen in a practical way. The recommendation was useful for deciding the right model for my AI feature, and the delivery was quick with good communication.
Up to $50
Price
3 days
Duration
Helpful?A anitakupka

Canada
The prompt review was really helpful and easy to understand. The rewritten prompts sounded much clearer and more natural, with useful suggestions for improving AI response quality and choosing the right model for my use case
Up to $50
Price
7 days
Duration
Helpful?M mary_gonzales1
Repeat Client

United States
Delivered exactly as required. The AI chatbot demo was clean, well-structured, and included FastAPI backend, RAG-style logic, OpenAI/Llama-ready setup, screenshots, and clear documentation.
Up to $50
Price
6 days
Duration
Helpful?M messaoudiassia
Repeat Client

France
Great job !!!! Thank you !!!
$100-$200
Price
2 days
Duration
Helpful?C chaichan25
Repeat Client

United Kingdom
⭐⭐⭐⭐⭐ The chatbot integration was done nicely and worked well inside my existing web app. The widget looks clean, answers basic customer questions, and the OpenAI/Claude/Gemini API setup was handled properly. Overall, a smooth and useful delivery.
Up to $50
Price
6 days
Duration
Helpful?

