You will get AI Agents That Convert Natural Language to SQL Queries
Top Rated
Top Rated
Project details
My Automated Data Analysis Chatbot stands out by seamlessly integrating advanced AI capabilities with powerful SQL dashboards, providing businesses with a comprehensive tool for data analysis and visualization. Unlike traditional data analysis solutions, this chatbot offers real-time, interactive insights through natural language conversations, allowing users to effortlessly extract valuable information from their data.
What sets this project apart is its focus on customization and user experience. Each chatbot is tailored to meet specific business needs, ensuring that users can ask targeted questions and receive instant, actionable answers. From analyzing user demographics to tracking sales trends and visualizing distribution centers, the chatbot can handle complex queries with ease.
Additionally, the chatbot features dynamic dashboards that provide clear visual representations of data, making it easier for users to identify patterns and make informed decisions. With ongoing support and a commitment to enhancing business intelligence, this project empowers organizations to unlock the full potential of their data.
What sets this project apart is its focus on customization and user experience. Each chatbot is tailored to meet specific business needs, ensuring that users can ask targeted questions and receive instant, actionable answers. From analyzing user demographics to tracking sales trends and visualizing distribution centers, the chatbot can handle complex queries with ease.
Additionally, the chatbot features dynamic dashboards that provide clear visual representations of data, making it easier for users to identify patterns and make informed decisions. With ongoing support and a commitment to enhancing business intelligence, this project empowers organizations to unlock the full potential of their data.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
GitHub CopilotAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$500
|
Standard
$2,000
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 28 days |
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 |
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MK
Michael K.
Feb 4, 2026
Project Scout AI Agent
Highly recommend Muhammed! Great work, fast and easy to work with!
JX
Jun X.
Jan 12, 2026
Experienced Python Backend Developer for a SaaS product
Highly recommend Jareer for building AI voice engine.
He made strong, hands-on contributions to our LiveKit-based AI voice agent, including implementing key logic such as custom functions and knowledge-base integration. He also quickly identified and resolved several critical issues that were impacting system stability.
Jareer understands real-time voice systems and AI workflows well, works effectively within an existing production codebase, and communicates clearly throughout the process. He’s reliable, proactive, and focused on delivering working solutions—not just code.
The voice agent is now in a solid, stable state, and we would confidently work with Jareer again on future development or scaling efforts.
He made strong, hands-on contributions to our LiveKit-based AI voice agent, including implementing key logic such as custom functions and knowledge-base integration. He also quickly identified and resolved several critical issues that were impacting system stability.
Jareer understands real-time voice systems and AI workflows well, works effectively within an existing production codebase, and communicates clearly throughout the process. He’s reliable, proactive, and focused on delivering working solutions—not just code.
The voice agent is now in a solid, stable state, and we would confidently work with Jareer again on future development or scaling efforts.
KA
Kamran A.
Dec 8, 2025
Python Developer with openAi, elevenlabs, deepgram and Azure Resdis expert needed for long term
Jareer is an exceptional talent. It is rare to find a developer who not only possesses deep expertise in Python and full-stack development but also truly understands the nuances of complex AI integrations.
He seamlessly orchestrated a difficult stack for us combining Livekit, Twilio, OpenAI, ElevenLabs, Cartesia, Hume Ai and Deepgram into a cohesive, production-ready solution. Beyond just writing code, Jareer is a proactive problem solver who delivers clean, scalable architecture. If you need a developer who can
He seamlessly orchestrated a difficult stack for us combining Livekit, Twilio, OpenAI, ElevenLabs, Cartesia, Hume Ai and Deepgram into a cohesive, production-ready solution. Beyond just writing code, Jareer is a proactive problem solver who delivers clean, scalable architecture. If you need a developer who can
MC
Martynas C.
Jul 31, 2025
Final image generation API call
Great working with Jareer, he is knowledgeable and when I needed help beyond contract scope he was able to help out.
jl
joel l.
Jul 31, 2025
AI Google Ads Agent Team
He is one of the best freelancers here on upwork I have worked with. Super helpful and very skilled! Recommend to everyone
About Muhammad
AI Agent Developer | LangChain, LangGraph, Vapi, Voice & CRM
100%
Job Success
Lahore Cantt, Pakistan - 1:27 am local time
I build AI agent systems and automation pipelines for businesses that run on real-time decisions, calls, leads, and repetitive workflows. Multi-step LangGraph orchestration for complex decision-making and tool calling. Inbound and outbound voice agents with sub-500ms response times. RAG systems that retrieve the right context under production load. CRM-connected automation that actually syncs across every channel a lead comes in through. If your business runs on calls, leads, or manual follow-up that needs to scale, I can replace or augment that with agents that work at 11pm on a Sunday without anyone watching them.
Deployed live across healthcare, dental, real estate, home services, mortgage, and e-commerce.
Core Services
AI agent development using LangChain and LangGraph for multi-step orchestration, tool calling, memory management, and autonomous decision-making across email, chat, voice, and CRM. Voice agent pipelines via Vapi, Retell AI, Twilio, and WebRTC with sub-500ms latency for production calls. RAG systems using Pinecone, FAISS, and ChromaDB. CRM-connected automation with HubSpot, Salesforce, Zoho, Google Calendar, and custom APIs. Multi-channel lead response and follow-up systems that operate autonomously across calls, email, and chat. AI chatbots across SMS, WhatsApp, web chat, and IVR replacement. GDPR and HIPAA-compliant builds for healthcare and dental clients.
Live Products
Dynaris AI: Built the AI front desk platform handling inbound leads across voice, email, and chat for multi-location businesses, with shared contact context, automated qualification, and CRM sync across every channel a lead comes in through.
VoiceCake: I was the core developer. Built the full voice agent pipeline, UI, and end-to-end user experience. It handles 24/7 inbound calls across dental, healthcare, fitness, estate agencies, and mortgage brokers, answering, booking, and updating CRMs in real time. Integrated with Twilio, HubSpot, Salesforce, Zoho, Zendesk, and clinic EMR systems.
Rawk.ai: Led latency optimization and reduced average voice response from 900ms to 320ms. Built custom tool integrations and the vector database layer for a self-optimizing voice agent builder serving SMBs.
How I Work
The part most developers underestimate is not the model; it is the system around it. State management, tool reliability, latency under load, fallback behavior, CRM sync that actually works, and agents that hold their context when a real user does something unexpected. That is where production systems succeed or fall apart.
I have been the person who owns the spec, not just implements it. Clean architecture, real latency targets, documented handoffs, and systems built to scale beyond the demo. I do not use no-code builders or drag-and-drop tools. Everything I build is engineered for production, maintainable, and built to hold up under real usage.
Let's Talk
If you're running lead response, customer follow-up, or call handling manually and it's costing you bookings, I can show you what an AI agent looks like handling that end-to-end. Send me your current stack and use case before you decide what to build.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Consultation
Schedule a brief call or chat to clarify any details and set expectations.
Data Collection
Request necessary data files (CSV, SQL access, etc.) from the client.