Explorar las categorías
Explora
Fiverr Pro
Español
$
USD
I will build ai chatbot using langchain, rag, openai, gemini, claude and llama
AI Engineer, React and Django Full Stack Developer
Hi, I'm Huzaima Aneeq, an AI Engineer and Full Stack Developer specializing in React, Django, Python, and Machine Learning. I build modern, responsive, and scalable web applications with AI integratio...
Acerca de este Servicio
Build Powerful AI Chatbots, RAG Systems & AI Agents with Leading LLMs
Looking for a professional AI Chatbot Developer to build an intelligent chatbot, RAG (Retrieval-Augmented Generation) system, or custom AI application?
You're in the right place!
I develop production-ready AI solutions using OpenAI GPT, ChatGPT, Gemini, Claude, Llama, DeepSeek, LangChain, LangGraph, CrewAI, AutoGen, Flowise, Pinecone, ChromaDB, FAISS, and Hugging Face.
Services I Offer
AI Chatbots & Virtual Assistants
RAG Chatbots & Knowledge Base Assistants
AI Agents & Multi-Agent Systems
Custom GPT Solutions
PDF & Document Chatbots
Customer Support Bots
AI SaaS Applications
Full-Stack AI Web Applications
API Integrations & Automation
Cloud Deployment (AWS, Azure, GCP, Hugging Face, Render)
Why Choose Me?
Production-ready architecture
Fast & secure backend development
Clean, scalable source code
Modern UI/UX
Complete documentation
Fast communication & support
Whether you need a business chatbot, AI assistant, enterprise RAG system, or a complete AI-powered application, I'll build a scalable solution tailored to your needs.
Please contact me before placing an order to discuss your project requirements.
Marcos:
Scikit-learn
•
Google ML Kit
•
keras
•
PyTorch
•
Panda
Tipo de datos:
Texto
Lenguaje de programación:
Python
•
R
•
Colab
•
MLflow
•
Amazon SageMaker
Mi porfolio
Otros servicios de Ciencia de datos y aprendizaje automático que ofrezco
FAQ
Q1. Which AI models do you support?
I work with OpenAI GPT, ChatGPT, Gemini, Claude, Llama, DeepSeek, Mistral, Ollama, and other modern Large Language Models (LLMs).
Q2. Can you build a RAG chatbot using my documents?
Yes. I can build Retrieval-Augmented Generation (RAG) chatbots using PDFs, Word files, websites, databases, Notion, Google Drive, and custom knowledge bases with FAISS, Pinecone, or ChromaDB.
Q3. Which frameworks and tools do you use?
I use LangChain, LangGraph, CrewAI, AutoGen, Flowise, Python, FastAPI, Django, React, FAISS, Pinecone, ChromaDB, Hugging Face, and OpenAI APIs.
Q4. Can you integrate the chatbot into my website or application?
Yes. I can integrate AI chatbots into React, Next.js, Django, Flask, WordPress, Shopify, and custom web applications using APIs.
Q5. Can you build AI agents and multi-agent systems?
Yes. I develop autonomous AI agents and multi-agent workflows for customer support, research, document analysis, task automation, and business operations.
Q6. Will I receive the complete source code?
Yes. Every project includes clean, documented source code, setup instructions, and deployment guidance.
Q7. Do you provide deployment services?
Yes. I can deploy your AI application on AWS, Azure, Google Cloud, Render, Railway, Hugging Face Spaces, Docker, or VPS hosting.
Q8. What do you need before starting the project?
Please share your project requirements, use case, preferred AI model (if any), knowledge base/documents, integration requirements, and expected features.
