Yiğit Gürler

Building with foundation models — prompt engineering, RAG pipelines, fine-tuning, and embedding-based retrieval. Exploring how LLMs can be grounded in private data and integrated into real enterprise workflows.

Designing agent networks where specialized AI instances collaborate — each with a distinct role, memory scope, and tool set. Fascinated by how orchestration, handoffs, and fallback logic shape reliable autonomous behavior.

Building full products in natural language — describing intent, iterating fast, and shipping without getting stuck on boilerplate. This portfolio site is a product of that mindset: designed and built with AI assistance from first pixel to deployment.