I am a Full Stack Developer and AI Engineer with a Master's in Data Analytics Engineering from George Mason University and a strong foundation in building production-grade web applications and AI-powered systems. My expertise spans both frontend and backend development, with a deep focus on scalable architecture, system design, and cloud-native solutions.

Specializing in artificial intelligence, I have extensive experience working with state-of-the-art Large Language Models (LLMs) including OpenAI, Anthropic, Cohere, and open-source models like LLaMA and Mistral. I design and deploy intelligent applications using LangChain, LangGraph, and vector-based RAG pipelines, integrating AI agents and multi-agent systems in real-world settings. My work includes developing autonomous AI workflows, context-aware assistants, and decision support systems across MCP server environments.

My technical experience cuts across healthcare tech, e-commerce, and enterprise applications, where I've consistently delivered high-impact solutions—ranging from clinical reasoning engines and triage automation to AI copilots and intelligent chat interfaces. I'm passionate about pushing the boundaries of AI, building systems that are not only robust and efficient but also deliver tangible business value.