I recently presented at the Nashua Cloud .NET User Group on a topic that is becoming more important for developers and architects: running AI locally. The session, “Run AI Locally: Getting Started with Azure Foundry Local,” focused on bringing AI models closer to the user’s machine instead of relying only on cloud-hosted inference. Cloud AI […]
AI Workflows
(#BCC40) Building Real-Time Voice AI: From Pipelines to Conversations
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 […]
Building Real-Time Voice AI: From Pipelines to Conversations
I recently presented “Building Real-Time Voice AI: From Pipelines to Conversations” at the Nashua Cloud .NET User Group, where we explored how Voice AI is evolving beyond rigid pipelines like Speech → Text → LLM → Text → Speech. Traditional approaches introduce latency, break conversational flow, and make interactions feel unnatural. With the rise of […]