Backend engineer with 4+ years of production C# / .NET experience. I design enterprise REST APIs and microservices on Clean Architecture, DDD, and CQRS — and I care about the numbers: cut a critical endpoint's latency 850 ms → 120 ms (−85%) and reduced hot SQL queries by 60% via stored-procedure and index tuning.

Now building AI-augmented backends — RAG pipelines, agent loops & tool calling, vector search and LLM integration, built from primitives rather than frameworks. M.Sc. thesis on Transfer Learning & Domain Adaptation for animal-behavior classification from wearable sensors.

📌 Open to AI Engineer / Backend roles — remote & EU.

Languages

Backend & Frameworks

Clean Architecture · DDD · CQRS · Outbox Pattern · Event-Driven · Microservices · SOLID

Databases & Messaging

AI / ML

RAG (from primitives) · Agent Loop & Tool Calling · RAGAS Eval · Hybrid Retrieval (Qdrant + BM25) · Reranking (RRF + cross-encoder) · OpenTelemetry Observability · Domain Adaptation

DevOps

• 🎓 M.Sc. Computer Engineering · Mersin University · 2023–2026 · GPA 3.60 / 4.00
• 🎓 B.Sc. Computer Engineering · Adana ATÜ · 2018–2022
• 📜 Microsoft ASP.NET Core Developer Professional Certificate · Coursera, 2024