In my role as an AI Research Engineer at Aion Labs, I built production-ready AI systems that combine advanced agent workflows and multimodal intelligence. I developed scalable AI-powered solutions using LangGraph, Azure/OpenAI GPT-5, and vector databases to automate complex workflows like partner discovery and user onboarding. Additionally, I engineered an intelligent prompt enhancement system for image generation with Azure OpenAI and FLUX APIs, integrated advanced RAG patterns for personalized responses, and created a full-stack solution for seamless interaction between text and visuals.

In my role as a Software Engineer at Personal Remedies in the San Francisco Bay Area, I engineered a cross-platform application integrating AI-based APIs to provide personalized health recommendations to users. I designed and implemented intuitive user interfaces that seamlessly interact with AI-driven backend systems. Throughout the full development lifecycle, from initial planning to testing and deployment, I focused on integrating AI-powered features and ensuring robust interaction with the application's database.

Architected an intelligent medical AI system using LangChain, LangGraph, and LlamaIndex, creating an agentic workflow for processing medical queries with automated intent classification and semantic search.

Implemented a stateful, conditional routing system with LangGraph to orchestrate complex AI dialogues, seamlessly switching between information retrieval and conversational modes.

Built a robust RAG system on LlamaIndex with Azure AI Search, enabling efficient indexing and hybrid search across medical PDF documents to provide accurate, context-aware responses.