Vahit Uzunlar

I design and build end-to-end AI systems with a focus on agentic architectures, LLM-powered automation, and high-reliability product development. My work spans health, education, and legal tech, where I develop scalable AI assistants, RAG pipelines, and production-grade deployment stacks.

I combine technical depth (LLMs, LangGraph, RAG, agents, optimization) with product leadership to deliver real, market-ready solutions. I’ve built multiple AI products from scratch, including an agentic nutrition assistant and a student learning platform. I typically work with startups, clinics, and organizations aiming to operationalize AI fast and securely.

Always open to collaborations on AI strategy, product builds, and enterprise-grade agentic systems.

I have led end-to-end development of AI products in health, education, and legal tech, specializing in agentic architectures, LLM pipelines, and scalable automation systems. My work includes designing RAG-based knowledge engines, deploying production-grade LangGraph agents, and architecting cloud infrastructures for high-reliability AI services. I collaborate with organizations to accelerate AI adoption, transform workflows, and deliver measurable operational impact.

Background in Data Science with a strong focus on machine learning, natural language processing, and AI systems engineering. Completed extensive applied research and hands-on development in LLMs, optimization, and multi-agent orchestration. Continually expanding expertise through advanced AI engineering, cloud technologies, and product innovation training.