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$
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I will create an ai assistant to query your database using natural language
Annas M
About this gig
I will build a production-ready AI assistant that converts natural language questions into accurate SQL queries, allowing non-technical users to query databases without writing SQL.
Instead of manually writing queries, users can simply ask in natural language:
- What were last months top customers?
- Show daily revenue by product.
The AI securely interprets the question, generates the correct SQL, and retrieves results directly from your database.
What this system can do:
- Convert plain English into accurate SQL queries
- Support PostgreSQL, MySQL, SQLite, BigQuery, and more
- Apply schema-aware query generation (no guessing columns)
- Add safety controls (read-only, query validation)
- Return structured results or summaries
Ideal for:
- Business analytics tools
- Internal dashboards
- SaaS products
- Non-technical teams needing data access
- This is not a demo script, but a scalable AI system designed for real data workflows.
Get to know Annas M
Annas M
AI Engineer Building Scalable LLM, RAG, and Conversational AI
- FromPakistan
- Member sinceMar 2020
- Avg. response time6 hours
- Last delivery1 year
Languages
Urdu, English, Arabic
AI and LLM Engineer with hands-on experience building production-ready AI systems across legal tech and enterprise workflows. I’ve worked full-time on a multilingual legal AI platform processing 450 plus real legal documents using hybrid RAG, advanced chunking, and agent-based architectures. My work includes document AI, conversational bots, text and voice systems, cloud deployments and scalable backend services. I focus on reliable, secure, and maintainable AI solutions that deliclver real business value.
FAQ
What types of databases do you support?
It supports SQL databases such as PostgreSQL, MySQL, SQLite, and MS SQL. For others, contact me before ordering.
Will my data remain private?
Yes. I don’t share your database or queries — I can work with anonymized datasets if required.
Can you integrate this with my existing dashboard or app?
Absolutely! I can integrate the SQL agent with dashboards (Streamlit, React, or BI tools) or provide an API for your developers.
Does it work for large datasets?
Yes. I’ve built agents for databases with millions of rows, using memory and reflexive loops to ensure accuracy.
