Avinash Rao

Saravanan Ganesan

Assistant Consultant
Tata Consultancy Services

With 11+ years of expertise in Industrial Internet of Things (IIoT), Artificial Intelligence (AI), and Microsoft Azure Cloud Services, I specialize in designing and deploying scalable, AI-enhanced IoT solutions that drive intelligent automation and business transformation. As Microsoft AI & IoT MVP, I leverage Microsoft’s cutting-edge IoT and AI services to implement high-performance architectures, predictive analytics, and real-time automation.

My expertise spans Azure IoT Hub, Azure IoT Edge, Azure EventHub, Azure IoT Operations, Azure Digital Twins, and Azure Functions, alongside IoT protocols such as MQTT, OPC-UA, TCP/IP, BACnet, Modbus, RS232, RS485, and Can bus, ensuring secure and seamless device connectivity. Proficient in C#, .NET, Python, Node.js and JavaScript, I architect robust cloud-native applications integrated with Azure AI Foundry, Azure AI Services, Azure OpenAI, and Semantic Kernel frameworks, fostering next-generation AI-driven IoT solutions.

Beyond technical expertise, I actively contribute to the Global AI Community and lead key technical communities, including the C# Corner Chennai Chapter, Global AI Chennai Chapter, and the Azure Developer Community, fostering collaboration, mentorship, and innovation in the fields of AI and IoT. As a Microsoft Azure Developer Community Lead and Microsoft MVP AI & IoT, I mentor professionals and share insights, driving technological advancements worldwide.

Session Title

Workshop - Enhancing Agile Collaboration with AI-Powered Pair Programming


Session Overview

AI-powered pair programming is redefining Agile collaboration by streamlining development workflows and augmenting team productivity. Leveraging tools like GitHub Copilot and Semantic Kernel, developers rapidly co-create modular, conversational agents while maintaining clean architecture and iterative design. Intelligent code suggestions accelerate implementation, while GitHub Actions automate reviews and approvals—reinforcing Agile principles of continuous integration and adaptive feedback. This dynamic synergy between human creativity and AI assistance enables scalable multi-agent systems across diverse domains, demonstrating how AI can elevate collaborative engineering without disrupting core team practices.