Karthik Nallani Chakravartula
Sr Software Engineer, farm Credit Bank
Austin, Texas, United States
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Karthik N is a technology leader specializing in AI-driven CRM systems, cloud architecture, and secure low-code platforms. With deep expertise in Microsoft Dynamics 365, Power Platform, and Azure DevOps, he builds intelligent, scalable solutions that transform customer engagement in sectors like banking, healthcare, and agri-tech. Passionate about innovation and impact, Karthik helps organizations move from manual processes to predictive, secure, and automated systems—bridging business needs with engineering excellence.
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Everyday AI: Practical Ways to Work Faster and Smarter
Artificial Intelligence is no longer confined to research labs or specialist teams — it is becoming part of our everyday work. From simplifying routine tasks to accelerating decision-making, AI is quietly reshaping how we work across industries and roles. This session explores practical ways to apply AI in daily workflows, highlighting real examples that improve productivity, accuracy, and collaboration. Attendees will leave with a clear understanding of how to leverage today’s AI capabilities to work smarter, not harder, in their own contexts.
Beyond Plugins: Exploring Service Endpoints, Webhooks, and Data Providers in Dynamics 365
Explore the full potential of Dynamics 365 Plugin Registration Tool. Learn how to register assemblies, steps, images, service endpoints, webhooks, data providers, and custom APIs. This session covers practical use cases, demos, and best practices to extend D365 with scalable, maintainable, and future-ready customizations
Automating Loan Processing with Azure Serverless and Power Platform
Loan processing often involves complex, manual steps that slow down business outcomes. This session demonstrates how to modernize and automate these workflows using Azure Functions, Logic Apps, and the Power Platform within a secure, serverless architecture. Attendees will learn proven patterns for orchestrating integrations, enforcing governance, and optimizing costs, all illustrated through a real-world loan processing scenario. The session provides practical insights and reusable designs that can be applied not only in financial services but across multiple industries seeking scalable automation.
Power BI Copilot Revolution: Transform Your Data Analytics with AI-Powered Insights
Power BI Copilot is transforming data analytics by enabling users to interact with their data through natural language queries and AI-powered insights. This hands-on workshop demonstrates how teams are leveraging Power BI Copilot's current capabilities to ask questions in plain English and instantly generate visualizations, summaries, and insights from their datasets. Participants will learn to use Copilot's Q&A features to create charts by simply typing requests like "show me sales trends by region" or "compare this quarter's performance to last year." We'll explore how the AI generates narrative summaries of key insights, helps users discover anomalies and patterns they might miss, and creates quick explanations of data trends. The session includes practical exercises using retail and financial datasets, showing how organizations are reducing time-to-insight by 60% while making data analysis accessible to business users who previously relied on technical teams for report creation.
GitHub Copilot & Development Excellence: Accelerating Delivery While Elevating Code Standards
GitHub Copilot is reshaping software development by dramatically accelerating coding speed, but successful teams are discovering how to harness this power while maintaining—and even improving—their development standards. This session reveals how engineering teams are using Copilot's autocomplete and comment-driven suggestions to enforce coding conventions, generate documentation, and maintain consistent architecture patterns across projects. We'll demonstrate live coding scenarios showing how teams use strategic commenting like "# implement repository pattern with error handling" to generate standardized code structures, leverage Copilot for creating comprehensive inline documentation, and maintain consistent naming conventions and design patterns. Real case studies from startups to enterprise teams show 40-60% faster feature delivery while improving code readability, reducing technical debt, and maintaining security best practices. We'll explore how teams integrate Copilot with linting tools, code formatters, and peer review processes to create a development workflow that's both fast and reliable, addressing common concerns about AI-generated code quality.
Predict, Personalize, Automate: The Future of CRM with AI and Low-Code Platforms
As AI continues to reshape industries, organizations are seeking practical ways to move beyond buzzwords and embed intelligence into the systems they use daily—especially CRMs. This session explores how AI, predictive analytics, and secure automation are transforming customer engagement, loan processing, outreach, and decision-making across sectors like finance, healthcare, and agriculture.
Learn how Microsoft’s Power Platform, Dynamics 365, and Azure AI services can be combined to build intelligent CRM ecosystems that automate repetitive tasks, surface predictive insights, and drive faster, more personalized customer experiences. From pre-qualifying loans using AI models to orchestrating patient discharges with real-time data, we’ll showcase real-world scenarios where automation has had measurable impact.
We'll also discuss the architecture and security considerations critical to deploying these solutions at scale, including zero-trust data flows, role-based access, and responsible AI practices. Whether you're automating a simple workflow or embedding a complex machine learning model into your CRM, this session will guide you through the best practices for implementation—from model training and integration to governance and scaling.
Perfect for architects, product managers, and innovation leaders, this session offers a practical roadmap for harnessing AI-powered automation using low-code tools—without compromising on control, security, or performance.
Modern CRM Engineering: Patterns, Pipelines, and Protection at Scale
In today's fast-moving digital landscape, organizations demand solutions that are not only low-code and agile—but also enterprise-grade, secure, and scalable. This session explores how to architect robust Microsoft Dynamics 365 and Power Platform applications that meet those demands, drawing from real-world, production-scale implementations.
We’ll begin by unpacking modern plugin design patterns for Dynamics 365 that promote testability, reusability, and clean separation of concerns. You’ll learn how to structure your plugins for long-term maintainability, extensibility, and performance.
Next, we dive into implementing zero-trust security in Power Platform projects using HashiCorp Vault, Azure Key Vault, and DevSecOps principles—ensuring your data and secrets stay protected across environments.
The session also covers how to build scalable CI/CD pipelines with Azure DevOps YAML templates, enabling safe, repeatable deployments for customizations, solutions, plugins, and Power Fx-based components.
Finally, we’ll tackle strategies for processing and automating large data volumes—like handling millions of audit records or high-volume integrations—without degrading platform performance.
Whether you’re a solution architect, DevOps engineer, or platform lead, this session offers an end-to-end blueprint for delivering secure, scalable, and future-proof applications on Microsoft’s business platform.
Karthik Nallani Chakravartula
Sr Software Engineer, farm Credit Bank
Austin, Texas, United States
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