Building sophisticated AI agent systems that autonomously reason, plan, and execute complex tasks. Specializing in multi-agent architectures, RAG systems, and intelligent LLM orchestration.
Mastering autonomous AI agents and intelligent systems
Expert in building autonomous AI agents using LangGraph, CrewAI, and AutoGen. Specialized in multi-agent systems, tool calling, and function orchestration.
Advanced experience integrating multiple LLM providers, implementing RAG architectures, and optimizing vector databases for production AI systems.
Pioneer in developing novel agent workflows, implementing structured output generation, and creating self-improving AI systems with advanced reasoning capabilities.
Cutting-edge frameworks for agentic AI development
Autonomous AI agents and intelligent system architectures
Full-stack AI-powered fantasy football trade analyzer that uses LangGraph and LLMs to provide contextual trade evaluations, considering player performance, injury reports, and league dynamics instead of relying on hardcoded statistical formulas.
Intelligent 4-agent customer service system featuring classification, routing, human handoff, and automated response capabilities. Built with LangGraph workflows to handle complex bank customer inquiries with smart escalation and context-aware responses.
A multi-tenant dashboard that helps librarians track student reading activity and deliver AI-driven book recommendations. Students can log in to view suggestions and manage their checked-out books, creating a smarter, more personalized library experience.
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