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You will get AI Chatbot with Agentic Workflows for Task Automation in just 7 days
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Project details
Agentic AI Workflow Expertise – Unlike typical bots, my chatbots use multi-agent reasoning and context-aware memory, allowing them to handle complex decision-making processes and provide truly interactive experiences.
Custom-Built for Your Business Needs – Every chatbot I build is tailored to your specific use case, whether it's customer support, data retrieval, automation, or lead generation. I ensure it aligns with your business goals for maximum impact.
Seamless Integration & Scalability – My chatbots effortlessly connect with PostgreSQL, Firebase, CRMs, e-commerce platforms, and internal databases, making them a powerful tool for workflow automation. Plus, they are scalable, growing with your business needs.
AI-Powered Insights & Real-Time Adaptability – With Retrieval-Augmented Generation (RAG) and machine learning models, my chatbots adapt dynamically, improving over time with real-time analytics and user interactions
Custom-Built for Your Business Needs – Every chatbot I build is tailored to your specific use case, whether it's customer support, data retrieval, automation, or lead generation. I ensure it aligns with your business goals for maximum impact.
Seamless Integration & Scalability – My chatbots effortlessly connect with PostgreSQL, Firebase, CRMs, e-commerce platforms, and internal databases, making them a powerful tool for workflow automation. Plus, they are scalable, growing with your business needs.
AI-Powered Insights & Real-Time Adaptability – With Retrieval-Augmented Generation (RAG) and machine learning models, my chatbots adapt dynamically, improving over time with real-time analytics and user interactions
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Text-to-Speech, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Hugging Face, Microsoft 365 Copilot, PyTorch, Streamlit, TensorFlowAI Models
BERT, ChatGPT, GPT-4, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$100
|
Standard
$1,000
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 3 | 5 |
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
Full Stack & AI Developer | Python, React, LangChain, LangGraph
100%
Job Success
Lahore Cantt, Pakistan - 5:27 am local time
I've spent four years closing that gap.
I build full-stack AI systems end-to-end: backend, frontend, AI agents, APIs, and the infrastructure that holds everything together when real users hit it at scale. Production platforms I've shipped are handling thousands of real interactions daily across voice, email, chat, and CRM. The kind of systems that still work at 11pm on a Sunday when nobody's watching.
At Rawk.ai, I built the backend infrastructure and cut average voice response latency from 900ms to 320ms. At VoiceCake, I was the core developer, built the full agent pipeline, booking system, UI, and CRM integrations across HubSpot, Salesforce, Zoho, and clinic EMR systems. Dynaris is an AI front desk platform I built for multi-location businesses handling inbound leads across voice, email, and chat with automated qualification and real-time CRM sync.
Deployed live across healthcare, dental, real estate, home services, mortgage, and e-commerce.
Core Stack
Python and FastAPI for backend systems and APIs. React for frontend interfaces and dashboards. LangChain and LangGraph for multi-step AI orchestration, tool calling, memory management, and autonomous decision-making. Vapi, Retell AI, Twilio, and WebRTC for voice pipelines with sub-500ms latency. RAG systems using Pinecone, FAISS, and ChromaDB. CRM integrations with HubSpot, Salesforce, Zoho, Google Calendar, and custom APIs. Multi-channel automation across voice, SMS, WhatsApp, email, and web chat. GDPR and HIPAA-compliant builds for healthcare and dental clients.
How I Work
The part most developers underestimate is not the model, it is everything around it. State management, API reliability, latency under load, fallback behavior, CRM sync that actually works, and a frontend that gives your team real visibility into what the system is doing. That is where production systems succeed or fall apart.
I have been the person who owns the spec, not just implements it. Clean architecture, documented handoffs, real latency targets, 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 are building an AI-powered product, integrating AI into an existing system, or replacing manual workflows with something that actually scales, send me your current stack and use case. I will tell you exactly what it takes to ship it properly.
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.
Project Planning & Workflow Design
Define the chatbot’s conversational flow and logic.
Chatbot Development & AI Model Training
Build the chatbot architecture using AI/NLP frameworks (OpenAI, Llama 2, etc.).