Summary
Oguz Koroglu is a full stack engineer based in Istanbul who blends two decades of engineering experience with a modern focus on embedding LLM intelligence into production systems. He designs and ships RAG pipelines, custom AI agents, NLP-to-SQL reporting, and vector ingestion pipelines while keeping token costs predictable through smart prompt engineering. Comfortable across legacy and modern stacks, he routinely modernizes C++, C#, Silverlight and ASP.NET systems into clean .NET architectures and then layers AI capabilities on top. Recent work includes a token-budgeted FastAPI + PostgreSQL RAG app with FTS/trigram indexing, Vanna.ai-driven BI enhancements, and real-time crypto anomaly detection that pairs signal processing with LLM summarization. Known for pragmatic, production-first integrations, he also crafts user-facing chat and dashboard UIs that surface LLM insights without overwhelming users.
10 years of coding experience
16 years of employment as a software developer
Bachelor's degree, Bachelor's degree at Istanbul Technical University
High School Diploma, German Studies, High School Diploma, German Studies at Cağaloğlu Anatolian School
German, English, Turkish