You will get Natural Language to SQL AI tool for your database
Top Rated

Top Rated

Project details
This project delivers an AI-powered Natural Language to SQL tool that lets you query your database using plain English. Instead of writing complex SQL, you or your team can simply ask questions and instantly get results. The solution is built with a production-ready FastAPI backend, supports multiple databases, and includes safety guardrails to ensure reliable query execution.
This works well because it highlights :
• the problem (SQL is hard)
• the solution (ask questions in English)
• the technology (AI + FastAPI)
• the reliability (guardrails and validation)
This works well because it highlights :
• the problem (SQL is hard)
• the solution (ask questions in English)
• the technology (AI + FastAPI)
• the reliability (guardrails and validation)
Machine Learning Tools
ChatGPT, NumPy, pandas, Python, PyTorch, scikit-learn, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$200
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 5 days | 6 days | 7 days |
Number of Revisions | 2 | 3 | 5 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
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MM
Mohammed M.
May 24, 2026
AI Agent OpenClaw
ZA
Ziad A.
May 12, 2026
30 minute consultation
EB
Eric B.
Mar 25, 2026
Python Project, MongoDB
excellent outcomes and management
OG
Oren G.
Mar 24, 2026
Data science magic 2
Zak is brilliant. One of the best guys I’ve worked with in recent years. He simplifies the complex - is happy to get stuck into the murky details and is a pleasant and great guy to work with. Looking forward to collaborating again soon.
RK
Roman K.
Feb 23, 2026
Text Humanization Specialist Needed for LLM Fine-Tuning or RAG
About Zakaria
Senior LLM/AI Engineer | Python, RAG, NLP, Voice Agent
99%
Job Success
Casablanca, Morocco - 10:52 am local time
I design and deploy production-ready LLM applications using LangChain, LlamaIndex, OpenAI APIs, and vector databases like Pinecone, Weaviate, and Qdrant. My focus is on delivering reliable, scalable, and high-accuracy AI solutions.
🔹 What I can help you build
• LLM-powered applications (GPT, Claude, open-source LLMs)
• RAG (Retrieval-Augmented Generation) systems for private data
• Use OpenClaw (ClawdBot) to build AI automation workflows
• AI chatbots for customer support, legal, medical, or business use
• AI agents and multi-step autonomous workflows
• Semantic search engines and embeddings pipelines
• Prompt engineering and LLM optimization
• Fine-tuning LLMs with HuggingFace
• Open-source LLM setup with vLLM or Ollama
• AI automation and RPA with UiPath
🔹 Technical Stack
• LLMs & GenAI: OpenAI, Claude, HuggingFace, LangChain, LlamaIndex
• Vector DBs: Pinecone, Weaviate, FAISS
• NLP: SpaCy, NLTK, BERT, AraBERT, Gensim
• Backend: Python, FastAPI, Flask
• Databases: MongoDB, MySQL, Elasticsearch
• Deployment: Docker, server deployment, Replicate (Cog)
• RPA: UiPath (Certified Advanced Developer)
🔹 Selected GenAI Projects
AI Agent Planner & Executor :
Built an AI agent capable of handling complex multi-step tasks using function calling, planning, and self-evaluation for reliable results.
RAG Document Search System :
Developed a RAG system for PDFs, DOCX, and PPTX files with access control and department-based retrieval using Weaviate.
SQL AI Assistant (SQLytics) :
Created an LLM-powered tool that converts natural language into SQL queries and retrieves accurate database insights.
Legal AI Chatbot :
Built a chatbot connected to legal database with source-backed answers via text and voice.
🔹 Why work with me?
• Production-ready AI solutions (not just prototypes)
• Vibe coder: using Cursor AI and Claude Code
• Clean, scalable architecture
• Strong communication and reliability
• Focus on real business value
If you need a serious LLM/GenAI expert to build high-quality AI solutions, I’d be glad to help.
Steps for completing your project
After purchasing the project, send requirements so Zakaria can start the project.
Delivery time starts when Zakaria receives requirements from you.
Zakaria works on your project following the steps below.
Revisions may occur after the delivery date.
Review database schema
I analyze your database structure, including tables, columns, and relationships.
Build the NL-to-SQL AI system
I configure the AI model to translate natural language questions into SQL queries.