You will get agent for Finance, Marketing and Customer Service Center with cloud hosting
Project details
you will get a AI Agent that understand your question, generate SQL, validate it, automatically fix errors through loop engineering, and deliver accurate results in real time. Built for production—not just a chatbot.
This project is an enterprise-style **5-node AI SQL Agent** that converts natural language into SQL and uses **self-correcting loop engineering** to improve accuracy. Instead of failing on incorrect SQL, the agent validates, evaluates, rewrites, and retries until it finds a valid solution or reaches the iteration limit.
**Workflow:**
• Query Understanding
• Semantic Schema Retrieval
• SQL Generation
• SQL Validation & Execution
• SQL Evaluation + Automatic Rewrite Loop
Tech Stack:Python, LangGraph, LangChain, OpenAI GPT-4o, PostgreSQL, FastAPI, Redis, Pinecone, Sentence Transformers, WebSockets, Streamlit, Docker.
Key Features:
✅ Self-correcting SQL generation
✅ Semantic schema search
✅ Real-time streaming responses
✅ Production-ready architecture
✅ Modular & scalable design
This project is an enterprise-style **5-node AI SQL Agent** that converts natural language into SQL and uses **self-correcting loop engineering** to improve accuracy. Instead of failing on incorrect SQL, the agent validates, evaluates, rewrites, and retries until it finds a valid solution or reaches the iteration limit.
**Workflow:**
• Query Understanding
• Semantic Schema Retrieval
• SQL Generation
• SQL Validation & Execution
• SQL Evaluation + Automatic Rewrite Loop
Tech Stack:Python, LangGraph, LangChain, OpenAI GPT-4o, PostgreSQL, FastAPI, Redis, Pinecone, Sentence Transformers, WebSockets, Streamlit, Docker.
Key Features:
✅ Self-correcting SQL generation
✅ Semantic schema search
✅ Real-time streaming responses
✅ Production-ready architecture
✅ Modular & scalable design
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Transformer ModelAI Applications
AI Chatbot, AIOps, Text RecognitionAI Development Language
PythonAI Tools
GitHub Copilot, Hugging Face, PyTorch, Streamlit, TensorFlowAI Models
ChatGPT, GPT-4, OpenAI CodexWhat's included
| Service Tiers |
Starter
$50
|
Standard
$199
|
Advanced
$299
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 3 | 6 |
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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $50
Additional Revision
+$10Frequently asked questions
1 review
(1)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
MP
Md Anowar P.
Jun 29, 2026
AI Intelligence Discussion
Sakib delivered quality work and was able to resolve several challenging issues in our AI backend within the expected timeframe. He demonstrated solid technical knowledge, communicated proactively, and integrated well with our GitHub workflow. He took ownership of problems instead of waiting for detailed instructions and was willing to iterate until everything worked as expected. We’d happily work with him again.
About Sakib
AI and ML Engineer | ML, LLMs , RAG , AGENT| Production MLOps on AWS
Chattogram, Bangladesh - 8:27 am local time
I help startups and businesses turn data into scalable AI solutions—from model development and MLOps infrastructure to cloud deployment, monitoring, and automated retraining. My focus is not just building models, but delivering systems that work reliably in production.
💡 Machine Learning & Data Science
• Predictive Modeling & Forecasting
• Classification & Regression
• Feature Engineering
• Model Optimization & Evaluation
• Customer Churn, Recommendation & Risk Models
⚙️ MLOps & Production ML
• End-to-End ML Pipelines
• Docker & Kubernetes Deployments
• CI/CD for Machine Learning
• MLflow, Airflow & Experiment Tracking
• Model Monitoring, Drift Detection & Auto-Retraining
☁️ Cloud & Data Engineering
• AWS Cloud Architecture
• ETL & Data Pipelines
• Data Validation & Quality Frameworks
• Scalable Analytics Infrastructure
• Real-Time & Batch Processing Systems
🤖 NLP & Generative AI
• LLM Applications & AI Assistants
• RAG Pipelines
• Prompt Engineering
• Intelligent Document Processing
• Custom AI Automation Solutions
📊 Business Analytics & Decision Intelligence
• KPI Dashboards & Reporting
• Business Intelligence Solutions
• Data Visualization
• Forecasting & Strategic Insights
• Data-Driven Decision Support
🛠️ Technologies
Python • Scikit-Learn • XGBoost • PyTorch • FastAPI • MLflow • Airflow • Docker • Kubernetes • AWS • SQL • Spark • GitHub Actions • Grafana • Prometheus
I specialize in taking AI projects from idea → development → deployment → monitoring → production handover, ensuring every solution is scalable, maintainable, and business-focused.
Let's build something impactful together.
Steps for completing your project
After purchasing the project, send requirements so Sakib can start the project.
Delivery time starts when Sakib receives requirements from you.
Sakib works on your project following the steps below.
Revisions may occur after the delivery date.
1. wormup meeting.
this will a simple meeting to understand the project and the knowledge sharing process how this project will be done .
2.database access and other permissions to ingest in the agent.
i need the permission to retrieve you data with agent . but i will make sure that is there will be no data lickage because i will test the project with demo data and only in the prodcution we will use the orginal data source .