You will get a custom multi-model agentic AI platform for your business
Project details
I will build you a production-ready multi-model agentic AI platform that lets you dynamically switch between leading LLMs like GPT-4o, Llama 3.3, and others based on your use case.
The platform uses LangGraph for agent orchestration, FastAPI for the backend, and a clean Streamlit UI. It includes real-time web search via ReAct architecture, Pydantic validation for reliable outputs, and custom system prompt engineering for your specific business needs.
Whether you need a customer support agent, research assistant, or intelligent workflow automation bot I'll build it, deploy it, and hand it over ready to use.
The platform uses LangGraph for agent orchestration, FastAPI for the backend, and a clean Streamlit UI. It includes real-time web search via ReAct architecture, Pydantic validation for reliable outputs, and custom system prompt engineering for your specific business needs.
Whether you need a customer support agent, research assistant, or intelligent workflow automation bot I'll build it, deploy it, and hand it over ready to use.
AI Algorithms
Feedforward Neural Network, Large Language Model, Multimodal Large Language Model, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, AIOps, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
GitHub Copilot, Gradio, Hugging Face, PyTorch, StreamlitAI Models
BERT, ChatGPT, GPT-3, GPT-4, LaMDA, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$30
|
Standard
$100
|
Advanced
$260
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 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 |
Frequently asked questions
About Hussnain
AI Engineer | AI Agents | LLM | RAG | AWS Bedrock | FastAPI
Okara, Pakistan - 11:24 pm local time
🔹 AI/ML Engineer specializing in Generative AI, Agentic AI Systems, RAG Pipelines, and LLM-powered applications.
🔹 Hands-on experience building production-ready AI applications using LangChain, LangGraph, FastAPI, Streamlit, Hugging Face, TensorFlow, and OpenAI/Groq APIs.
🔹 Experience with NLP, Computer Vision, Voice AI, Multimodal AI, and AI Automation systems.
I’m Muhammad Hussnain, an AI/ML Engineer passionate about building scalable AI applications, autonomous agents, and intelligent automation systems that solve real-world problems.
𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗕𝘂𝗶𝗹𝗱
✅ AI Chatbots & Conversational AI
✅ Agentic AI Systems using LangGraph
✅ Retrieval-Augmented Generation (RAG) Pipelines
✅ AI Assistants with Voice & Vision
✅ LLM Fine-Tuning using LoRA/PEFT
✅ AI Automation Workflows
✅ FastAPI AI Backends & REST APIs
✅ NLP & Computer Vision Applications
✅ AI Content Generation Systems
✅ Multi-Agent AI Architectures
✅ Real-Time AI Inference Systems
𝗠𝘆 𝗔𝗜 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀
🔹 AI Agent Studio
Built a multi-model agentic AI platform using LangGraph with dynamic switching between GPT-4o-mini and Llama models. Integrated autonomous web search using Tavily API with a FastAPI backend and Streamlit frontend.
🔹 AirWave – Agentic AI Journalist
Developed an end-to-end AI journalism pipeline that scrapes Reddit/web data, generates scripts using Claude AI, and converts them into audio using ElevenLabs with context-aware agent execution.
🔹 AI Doctor with Vision & Voice
Created a multimodal healthcare AI assistant combining image understanding, voice interaction, and conversational AI using Whisper STT, Groq API, and Computer Vision techniques.
🔹 Fine-Tuning DeepSeek LLM using LoRA
Fine-tuned LLMs using LoRA/PEFT and Hugging Face Transformers while reducing GPU memory usage by 70% for efficient consumer-grade deployment.
🔹 Agentic AI Chatbot using RAG
Built an intelligent RAG-based AI assistant with autonomous workflows for counseling, emergency response, and therapist recommendations using LangChain and LangGraph.
𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸
🔹 AI/ML & LLMs
LangChain, LangGraph, OpenAI API, Groq API, Hugging Face, Transformers, LoRA, TRL, TensorFlow, PyTorch, Scikit-learn
🔹 Backend & Deployment
Python, FastAPI, Streamlit, REST APIs, Docker, AWS
🔹 Voice & Multimodal AI
Whisper STT, gTTS, ElevenLabs SDK, Computer Vision, OpenCV
🔹 Data & Automation
Pandas, NumPy, Matplotlib, Tavily Search, BrightData, MCP
𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲
𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲
🔹 AI Engineer — Jornal Post Group
Currently building AI-powered automation systems, intelligent workflows, and scalable Generative AI applications using LLMs, FastAPI, LangChain, and modern AI frameworks.
🔹 AI/ML Engineer — Knowledge Stream
Worked on machine learning pipelines, deep learning architectures, data preprocessing, visualization, and end-to-end AI deployment using TensorFlow, Keras, and Scikit-learn.
🔹 AI/ML Engineer — Cross Media Sol
Developed NLP and Computer Vision solutions including image classification, real-time detection systems, recommendation models, and AI optimization workflows using Python, TensorFlow, and PyTorch.
𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲?
✔ Clean and scalable AI architecture
✔ Strong focus on performance and optimization
✔ Fast communication and on-time delivery
✔ Real-world AI deployment experience
✔ Passion for building production-ready AI systems
If you’re looking for an AI developer who can build modern AI agents, chatbots, RAG systems, or intelligent automation solutions, let’s connect and build something impactful together.
Steps for completing your project
After purchasing the project, send requirements so Hussnain can start the project.
Delivery time starts when Hussnain receives requirements from you.
Hussnain works on your project following the steps below.
Revisions may occur after the delivery date.
What kind of AI agent do you build?
Customer support agents, research assistants, intelligent workflow automation, data retrieval bots, and conversational AI systems.
Can I choose which AI models to include?
Yes — OpenAI, Groq, Anthropic Claude, or any supported model.