Speaker

Dev J. Shah

Dev J. Shah

Software Engineer & GenAI Evangelist

Toronto, Canada

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Dev J. Shah is a Full Stack Developer and AI Evangelist based in Toronto, Canada. With nearly two years of professional experience, he specializes in building scalable web applications and integrating AI technologies into development workflows. Dev actively contributes to the tech community through insightful blog posts on Dev.to and instructional videos on YouTube, focusing on simplifying complex AI concepts and tools. He holds an Advanced Diploma in Computer Programming and Analysis from Seneca Polytechnic, graduating with honors, and a Diploma in Electrical Engineering from The Maharaja Sayajirao University of Baroda.

Area of Expertise

  • Information & Communications Technology

Topics

  • Artificial Inteligence
  • Retrieval Augmented Generation (RAG) and LLM Applications
  • AI Engineering
  • LangChain
  • Ollama
  • Azure AI Engineering
  • Generative AI
  • JavaScript
  • Model Context Protocol (MCP)
  • Using AI and LLMs
  • LlamaIndex
  • Vector Database
  • Cosine Similarity
  • Containers
  • Docker
  • Google Devfest
  • Google Developer Groups

Model Context Protocol Unleashed: Integrating with GitHub Copilot

In this session, we will explore the Model Context Protocol (MCP), an open standard developed by Anthropic to bridge AI models with external tools and data sources. You'll learn how MCP enables seamless integration between large language models and development environments, enhancing the capabilities of AI assistants like GitHub Copilot.​

We will delve into the MCP workflow, demonstrate how to build an MCP server using available SDKs, and showcase the integration with VS Code Copilot. Through live demos and practical examples, we'll highlight real-world use cases where MCP enhances AI-driven development workflows. By the end of this talk, you'll have a clear understanding of how to leverage MCP to create more intelligent and context-aware AI assistants.

Dev J. Shah

Software Engineer & GenAI Evangelist

Toronto, Canada

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