Skip to content
View maneeshkumar52's full-sized avatar

Block or report maneeshkumar52

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
maneeshkumar52/README.md

LinkedIn GitHub followers Location


👋 About Me

I'm an AI Architect and Enterprise Solutions Designer with deep expertise in building production-grade AI systems on Azure. I specialize in designing scalable Retrieval-Augmented Generation (RAG) pipelines, Agentic AI orchestration frameworks, and end-to-end enterprise AI solutions — having shipped these across industries including banking, healthcare, legal, HR, and e-commerce.

Previously at Microsoft and Accenture, I've led complex AI transformations at scale.

📘 I'm the author of "From Prompts to Agentic AI: Building Agentic AI & Enterprise RAG Systems on Azure" — a comprehensive technical guide covering production AI engineering, multi-agent architectures, evaluation methodologies, security, observability, and 10+ end-to-end Azure AI projects.


🛠️ Core Tech Stack

☁️ Azure AI Platform

Azure OpenAI Azure AI Search Azure Container Apps Cosmos DB Azure Functions

🤖 AI / ML Frameworks

LangChain Semantic Kernel AutoGen OpenAI HuggingFace

💻 Languages & Tools

Python FastAPI Docker PostgreSQL Redis


📚 Featured Book

From Prompts to Agentic AI

Building Agentic AI & Enterprise RAG Systems on Azure

A production-focused technical book covering the full lifecycle of enterprise AI engineering — from foundational RAG architecture to advanced multi-agent orchestration, evaluation, security, compliance, and deployment.

What's inside:

  • 🏗️ 10 end-to-end Azure AI projects across enterprise sectors
  • 🤖 Multi-agent system design with AutoGen & Semantic Kernel
  • 📊 RAG evaluation methodologies & observability patterns
  • 🔐 Security, compliance & responsible AI governance
  • ☁️ Production deployment on Azure Container Apps

📖 Available Now

Comprehensive guide for AI Engineers building production systems on Azure


🚀 Featured Projects

Project Description Stack
🔍 rag-app Enterprise RAG pipeline with Azure AI Search + OpenAI Azure OpenAI AI Search Python
🏦 banking-support-agent Intelligent banking support multi-agent system AutoGen Azure OpenAI FastAPI
📈 contoso-research-system Financial research & analysis platform LangChain Cosmos DB Python
🛒 ecommerce-assistant Conversational e-commerce AI assistant Semantic Kernel Azure OpenAI
🤝 contoso-support-agent Enterprise customer support agent Azure OpenAI AI Search
📄 github-repo-documentation Auto-documentation generator for GitHub repos Python OpenAI GitHub API

🎯 Areas of Expertise

Enterprise RAG Architecture     ████████████████████  Expert
Azure OpenAI Integration        ████████████████████  Expert
Agentic AI Systems              ███████████████████░  Advanced
Multi-Agent Orchestration       ███████████████████░  Advanced
AI Evaluation & Observability   ██████████████████░░  Advanced
MLOps & Production Deployment   █████████████████░░░  Proficient

📊 GitHub Stats


📬 Let's Connect

I'm always open to discussing enterprise AI architecture, Azure AI implementations, or the ideas behind the book.

LinkedIn GitHub

Popular repositories Loading

  1. rag-app rag-app Public

    Production-grade Enterprise RAG pipeline using Azure AI Search, Azure OpenAI, and Python — with chunking strategies, vector indexing, and retrieval optimization.

    Python

  2. github-repo-documentation github-repo-documentation Public

    Python

  3. banking-support-agent banking-support-agent Public

    Intelligent multi-agent banking support system built on Azure OpenAI — handles customer queries, transaction lookups, and escalation workflows with agentic orchestration.

    Python

  4. contoso-research-system contoso-research-system Public

    Financial research & analysis platform powered by Azure OpenAI and Cosmos DB — automates market research, document summarization, and insight generation.

    Python

  5. contoso-support-agent contoso-support-agent Public

    Enterprise customer support agent using Azure OpenAI and AI Search — provides grounded, context-aware responses from internal knowledge bases.

    Python

  6. ecommerce-assistant ecommerce-assistant Public

    Conversational AI shopping assistant for e-commerce — product discovery, recommendations, and order support powered by Azure OpenAI and Semantic Kernel.

    Python