You will get RAG, Chatbots & LLM Apps
Project details
Most RAG systems look good in demos but fail on real documents. I build pipelines that actually retrieve the right content — using hybrid search, proper chunking, and retrieval evaluation to make sure answers are grounded in your data, not guessed. You get clean code, clear documentation, and something that works beyond the first test.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AIAI Development Language
PythonAI Tools
Gradio, Hugging Face, StreamlitAI Models
ChatGPT, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$30
|
Standard
$60
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 3 | 5 | 8 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | - | ||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
About ZIAD
Machine Learning Engineer
Ismailia, Egypt - 8:07 am local time
I work with RAG pipelines, chatbots, AI agents, and fine-tuned models. My stack includes LangChain, FastAPI, ChromaDB, HuggingFace, OpenAI, Groq, and Streamlit — enough to take a project from scratch to a working API.
Things I can help with:
— Document Q&A and knowledge assistants
— Chatbots connected to your data or APIs
— RAG pipelines
— Fine-tuning models for specific tasks
— AI agents with memory and tool use
Steps for completing your project
After purchasing the project, send requirements so ZIAD can start the project.
Delivery time starts when ZIAD receives requirements from you.
ZIAD works on your project following the steps below.
Revisions may occur after the delivery date.
reviewing
Review your documents and understand the use case