Nithin's contributions

Learn how Microsoft Foundry IQ, Fabric IQ, Work IQ, and Memory Stores support agentic enterprise retrieval, grounded answers, and long-term user memory.

Learn how Microsoft Foundry Model Router selects cost-effective AI models, how structured outputs enforce JSON schemas, and how Foundry Local runs models offline.

Learn how to centralize reusable agent tools with Microsoft Foundry Toolboxes, MCP endpoints, and Tool Search to reduce prompt tokens and simplify tool management.

Learn how Microsoft Foundry Agent Service supports declarative prompt agents, real-time voice agents, and hosted Python or .NET agents deployed from ZIP files or containers.

Learn how Microsoft Foundry supports production AI agents with unified project endpoints, the Responses API, managed tools, stateful conversations, and the Azure.AI.Projects SDK.

Learn how to use Microsoft Foundry's agent optimizer to evaluate AI agents, generate improved configurations, compare scores, and deploy approved changes.

Learn how to use Microsoft Foundry's agent optimizer to evaluate agent configurations, generate improvements, compare scores, and apply optimized candidates.

Learn how Microsoft Foundry Toolboxes and tool search reduce agent token usage, improve tool selection, and support MCP tools in Python and C#.

Build a C# MCP server with ASP.NET Core, expose inventory tools over HTTP, and test them locally with the MCP Inspector.

Build a Microsoft Foundry agent that uses MCP tools, Cosmos DB session state, approval gates, and OpenTelemetry tracing for enterprise-ready workflows.

Learn how to audit fine-tuned LLMs for training data leakage and PII exposure using data sanitization, adversarial testing, output scanning, and release gates.