Aniket Wattamwar
Crafting Code. Shaping Tomorrow
Denver, Colorado, United States
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I am a software engineer blending full-stack versatility, Agentic AI and LLMs. Outside of work, I'm usually exploring fun ideas—like turning generative AI into real tools, or 3D-printing just for fun. I’m always up for geeking out over cool projects, and ways to make tech more useful (and a little more fun).
Let’s talk if you're into AI, backend engineering, or just enjoy building things that actually work!
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Standardizing the Chaos: Model Context Protocol for LLM Apps
In this session, we’ll dive into how MCP empowers developers to rapidly build powerful LLM-based applications by connecting to pre-built servers like file systems, GitHub, and web search engines — without writing custom agents every time. You’ll learn how MCP simplifies complex workflows using standard components like tools making LLMs more actionable.
We’ll also walk through a live demo of integrating the Claude Desktop client with MCP servers to perform real tasks — like reading files, editing code, and managing GitHub repos — using only natural language. Whether you're building AI assistants, agent workflows, or data-rich applications, MCP is the protocol that bridges your LLMs to the real world.
Not Me, Ask My AI Agent
In this session, we'll explore a real-world use case where multiple AI agents—each specializing in a distinct function—work together to solve user queries dynamically. From gathering information to analyzing, synthesizing, and presenting results, these agents operate in harmony to deliver intelligent automation.
We'll dive into the architecture, coordination strategies, and real-world applications of this approach, showcasing how CrewAI can revolutionize workflows across industries. Perfect for developers, AI enthusiasts, and automation strategists looking to optimize multi-agent collaboration.
Leveraging LangChain and AWS Bedrock: Crafting Custom Chatbots for Specialized Data
Dive deep into the transformative potential of using LangChain with AWS Bedrock to build highly specialized chatbots. In this session, we'll explore a case study where we developed an LLM-based tool that delivers interactive, data-driven conversations tailored to specific datasets. Discover the underlying technologies, implementation challenges, and solutions that make these chatbots excel in real-world applications. Ideal for technical professionals seeking to harness advanced AI to meet unique data needs
Denver Dev Day | Developer's Conference | October 2024 Sessionize Event
2024 SQL Saturday Orange County (SQLSatOC) Sessionize Event
Aniket Wattamwar
Crafting Code. Shaping Tomorrow
Denver, Colorado, United States
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