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ritesh-modi/README.md

Welcome

πŸ‘‹ Hello, I'm Ritesh Modi

I'm a Principal Engineer at Microsoft and the AI/ML EMEA Community Lead, with over two decades of experience in delivering enterprise-scale solutions. My expertise spans Artificial Intelligence, Generative AI, MLOps, LLMOps, GenAIOps, Blockchain, and Cloud technologies.

I'm passionate about driving innovation, sharing knowledge, and empowering the developer community through open-source contributions, writing, speaking, and mentoring.


πŸ“˜ Publications

I've authored several best-selling books:

  • Solidity Programming Essentials (1st & 2nd Editions) - Hands‑on guide to smart contracts on Ethereum
  • Azure for Architects (Multiple Editions) - Build and design cloud native applications that are cross-language, platform, and cost-effective by understanding core Azure principles, architecture, resources and foundational concepts.
  • Deep-Dive Terraform on Azure - Automated Delivery and Deployment of Azure Solutions using Infrastructure as code
  • Azure Resource Manager Templates Quick Start Guide - Create, deploy, and manage Azure resources with ARM templates using best practices
  • Developing Bots with Microsoft Bot Framework - Create Intelligent Bots using MS Bot Framework and Azure Cognitive Services
  • DevOps with Windows Server 2016 - Understand implementation of DevOps principles and practices using the features provided by Windows Server 2016 and VSTS vNext

These books offer practical, real-world guidance on building modern, scalable systems.


πŸ› οΈ Open Source Contributions

I actively contribute to open source, leading and maintaining several projects:

  • GenAIOps Azure AI SDK Template – Implement GenAIOps using Azure AI Foundry
  • RAG Experiment Accelerator – Experimente and evaluate RAG patterns with Azure OpenAI and Azure AI Search
  • LLMOps PromptFlow Template – Implement GenAIOps using Azure Prompt Flow
  • MLOps Model Factory Accelerator – End-to-end workflow for training, evaluation and deploying models
  • MLOps DSToolKit – Structured repo for MLOps on Azure
  • MLOps Accelerator for Edge - Training and deploying multiple models on edge
  • MLOps PromptFlow Prompt – PromptFlow pipelines to accelerate LLMOps

Also a contributor to the Terraform AzureRM Provider used by developers worldwide.

  • azurerm_servicebus_subscription new datasource – Contributed new Data Source azurerm_servicebus_subscription resource
  • validation rules for azurerm_postgresql_firewall_rule – Added Rules for start_ip_address and end_ip_address for azurerm_postgresql_firewall_rule
  • Bug Fixes for azurerm_virtual_desktop_application_group – azurerm_virtual_desktop_application_group name allowed length is 3-31, should be 1-260
  • Plus many more

My Major contributions are in Microsoft Repos and most of the contributions are only visible after single-sign-on.

Contributions in 2025

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Contributions in 2024

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Contributions in 2023

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Contributions in 2022

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Contributions in 2020

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✍️ Articles & Blogs

I write technical articles and tutorials regularly:

I share deep dives, how-tos, and architectural patterns for developers and engineers.


🎀 Speaking Engagements

I’ve presented at many top conferences:

  • Microsoft BUILD
  • TechEd
  • Global AI Community
  • PyCloud
  • Cloud Community Days
  • Microsoft AI Show (YouTube)
  • Numerous Microsoft internal conferences including MLADS, 24xAI, DSGUILD etc.

I enjoy sharing real-world lessons and connecting with fellow professionals.


πŸŽ“ Mentoring & Community Leadership

I support the ecosystem as:

  • Mentor at DeepTech @ T-Hub
  • Mentor to csharp.com
  • Books used as reference at Sharad Institute of Technology
  • Speaker on mentoring startups via YourStory.com

πŸ† Recognition & Awards

  • Microsoft Regional Director 2018-2020
  • Regional Lead, Microsoft Certified Trainers 2017-2019
  • 3rd Place, Azure Developer Stories Blogging Contest
  • Hackathon Judge and Organizer at AngelHack and other events

🀝 Let's Connect

I'm always eager to collaborate, share insights, and contribute to building better tech.


I’m always eager to collaborate, share insights, and help the community push the boundaries of what’s possible with AI and cloud technologies.

Pinned Loading

  1. microsoft/genaiops-promptflow-template microsoft/genaiops-promptflow-template Public

    GenAIOps with Prompt Flow is a "GenAIOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Man…

    Python 320 260

  2. microsoft/rag-experiment-accelerator microsoft/rag-experiment-accelerator Public

    The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.

    Python 254 89

  3. microsoft/genaiops-azureaisdk-template microsoft/genaiops-azureaisdk-template Public

    Implement GenAIOps using Azure AI Foundry with ease and jumpstart

    Python 21 24

  4. microsoft/dstoolkit-mlops-v2 microsoft/dstoolkit-mlops-v2 Public

    This repository contains the basic repository structure for machine learning projects based on Azure technologies (Azure ML and Azure DevOps).

    Python 26 16

  5. microsoft/mlops-model-factory-accelerator microsoft/mlops-model-factory-accelerator Public

    MLOps Model Factory is an end to end workflow that supports generating multiple models and used for deployment to any target.

    Python 9 13

  6. microsoft/mlops-template-for-azureml-sdk-v2 microsoft/mlops-template-for-azureml-sdk-v2 Public

    A template implementation for MLops using the Azure ML Python SDK version 2

    Python 10 5