You will get an Agentic AI Multi-Agent System with Deep RAG & n8n Automation
Project details
Build **high-performance Agentic AI workflows** that don’t just chat—they **reason, plan, and execute real business tasks**. I design and engineer **production-grade AI ecosystems** using frameworks like **LangGraph, CrewAI, AutoGen, and the Model Context Protocol (MCP)** to automate complex workflows and decision processes.
My solutions focus on building **autonomous AI systems** that integrate with your data, tools, and APIs to deliver operational results.
**Core Solutions:**
• **Autonomous Multi-Agent Systems** – Hierarchical AI teams that plan, delegate tasks, and execute workflows autonomously.
• **Advanced RAG Architectures** – Self-Reflective RAG, Corrective RAG (CRAG), and Graph-based RAG for accurate and reliable knowledge retrieval.
• **MCP Infrastructure** – Custom **Dockerized MCP servers (SSE/Stdio)** that securely connect AI agents to internal databases, APIs, and tools.
**Technology Stack:**
LangGraph, CrewAI, AutoGen, LangChain, FastMCP, Docker, FastAPI, Gradio, and Streamlit.
From **ReAct agents to sophisticated multi-agent systems**, I build robust Python-based AI solutions designed for **scalability, reliability, and real business impact**.
My solutions focus on building **autonomous AI systems** that integrate with your data, tools, and APIs to deliver operational results.
**Core Solutions:**
• **Autonomous Multi-Agent Systems** – Hierarchical AI teams that plan, delegate tasks, and execute workflows autonomously.
• **Advanced RAG Architectures** – Self-Reflective RAG, Corrective RAG (CRAG), and Graph-based RAG for accurate and reliable knowledge retrieval.
• **MCP Infrastructure** – Custom **Dockerized MCP servers (SSE/Stdio)** that securely connect AI agents to internal databases, APIs, and tools.
**Technology Stack:**
LangGraph, CrewAI, AutoGen, LangChain, FastMCP, Docker, FastAPI, Gradio, and Streamlit.
From **ReAct agents to sophisticated multi-agent systems**, I build robust Python-based AI solutions designed for **scalability, reliability, and real business impact**.
AI Algorithms
AdaBoost, Convolutional Neural Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer Model, YOLOAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AI-Generated Code, Image Processing, Image Recognition, Object Detection, Sentiment Analysis, Text Recognition, Time Series ForecastingAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, GPT-3, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$400
|
Standard
$700
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 30 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 |
Frequently asked questions
About MD Ashik
AI & DL Engineer | ML, CV, Gen AI, Agentic AI, NLP
Dhaka, Bangladesh - 6:39 am local time
I specialize in PyTorch and TensorFlow, delivering expert solutions in Computer Vision and Generative AI. My experience spans the full deep learning pipeline, from data preparation and fine-tuning to deployment.
My core expertise includes Deep Learning, Computer Vision, Generative and Agentic AI, and NLP with transformer-based models.
I deliver scalable, production-ready AI solutions tailored to your needs.
Steps for completing your project
After purchasing the project, send requirements so MD Ashik can start the project.
Delivery time starts when MD Ashik receives requirements from you.
MD Ashik works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Use Case
Understand the problem, define the agent goal, inputs, constraints, and expected outputs.
Workflow & Agent Design
Design the agent workflow including reasoning pattern (ReAct, Plan-Solve, or multi-agent) and tool integrations.