At Boston Code Camp 40, I presented an in-person session on building real-time voice AI systems, focusing on the shift from traditional speech pipelines to conversational, audio-native architectures. I demonstrated how legacy approaches introduce latency and disrupt natural interaction, and how modern real-time models enable streaming, low-latency, and interruptible conversations that feel more human. The […]
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Memphis Agent Camp: Building Real-Time Voice AI: From Pipelines to Conversations
At Memphis Agent Camp, I delivered an online session on the evolution of voice AI from rigid, multi-step pipelines to real-time conversational systems. The talk highlighted how audio-first models enable fluid, human-like interactions by reducing latency and supporting continuous, interruptible dialogue. I walked through practical design patterns for building voice-enabled agents that integrate with enterprise […]
Model Context Protocol (MCP): Connecting AI Models to Real-World Systems
At the Nashua Cloud .NET User Group, we explored the Model Context Protocol (MCP) and why it is becoming the execution layer for real AI agents. The session focused on moving beyond prompt-only demos to secure, governed, and reusable tool access for enterprise systems. We covered how MCP introduces a standard client–server model where the […]
Guardrails in Action: Ensuring Safe AI (#BCC39)
At Boston Code Camp 39, I presented “Guardrails in Action: Ensuring Safe AI with Azure AI Content Safety,” a practical look at why modern AI needs strong guardrails before it ever reaches production. AI is mighty, but without safeguards, it can hallucinate, leak copyrighted or sensitive content, and fall for prompt-injection tricks. The session showed […]
Guardrails in Action: Ensuring Safe AI with Azure AI Content Safety
This week at the Nashua Cloud .NET User Group, I had the opportunity to present “Guardrails in Action: Ensuring Safe AI with Azure AI Content Safety.” With AI adoption accelerating across every industry, one theme continues to rise above all others: AI must be safe, reliable, and aligned with real-world responsibility standards. The session walked […]
Connecting Multi-Cloud AI Agents with Semantic Kernel
At our recent Nashua Cloud .NET User Group meetup, I delivered a session titled “Connecting Multi-Cloud AI Agents with Semantic Kernel,” exploring how organizations can orchestrate intelligent agents across Microsoft, AWS, and Google ecosystems. As AI adoption accelerates, enterprises increasingly need interoperability, portability, and flexible agent orchestration—and this session focused on exactly how to achieve […]
AgentCon Boston Workshop: Building Actionable AI Agents with Azure AI Foundry, Semantic Kernel & LangChain
At AgentCon Boston, I delivered a packed 2-hour hands-on workshop—so full we needed overflow seating—focused on building real, production-ready AI agents using Azure AI Foundry, Semantic Kernel, and LangChain. To ensure everyone could follow along without setup issues, attendees were provided pre-configured Windows VMs, each loaded with the required SDKs, repo, tools, and environment variables. […]
Boston Azure AI Meetup Recap – NLWeb and What’s New in Azure AI Search from Build 2025
I had the pleasure of being one of the four panelists at the recent Boston Azure AI Meetup (Virtual), where we discussed key takeaways from Microsoft Build 2025. My focus areas were NLWeb and the latest innovations in Azure AI Search. Introducing NLWeb NLWeb is a powerful open-source project by Microsoft that brings the capabilities […]
Recap: Global Azure 2025 – Nashua, NH (Virtual Event)
On Saturday, May 10, 2025, the Nashua Cloud .NET User Group proudly hosted a virtual edition of Global Azure 2025, co-organized by myself (Udai Ramachandran) and Dan Colón. As part of the global Azure celebration, our local event brought together developers, architects, and cloud enthusiasts to learn, connect, and explore the latest Microsoft Azure technologies. […]
Building .NET AI Applications with Google AI: Leveraging Vertex AI & Gemini
At the recent Nashua Cloud .NET User Group meetup, I had the pleasure of presenting on how developers can integrate Google’s AI technologies into their .NET applications. The presentation focused on two key tools in the Google AI ecosystem: Vertex AI and Gemini AI. Vertex AI is a unified platform that simplifies building, deploying, and […]