I'm an AI Engineer and Data Scientist based in Turkey. I design, build, and ship intelligent systems end to end, from data exploration and predictive modeling to agentic LLM applications that run reliably in production.
My foundation is applied data science: CRISP-DM, RFM segmentation, fraud and leakage detection, predictive modeling, and time series forecasting. Today my focus is agentic AI: stateful multi-agent workflows, long-term agent memory, hybrid retrieval (vector + graph), systematic evaluation, observability, and AI safety.
Ship it, measure it, make it safe, then scale it.
| Stateful agents and multi-agent orchestration with LangGraph and LangChain, including tool use, planning, and human-in-the-loop flows. | Short and long-term memory with LangMem. RAG with vector, graph, and hybrid retrieval across Qdrant, Pinecone, ChromaDB, FAISS, and Neo4j. |
| Input and output validation, policy enforcement, and safe deployment of LLM applications with Guardrails AI and NeMo Guardrails. | LLM evaluation, tracing, and monitoring with DeepEval, LangSmith, Logfire, and Grafana, so quality is measured instead of guessed. |
| Forecasting, anomaly and fraud detection, customer segmentation, and leakage-safe modeling with gradient boosting and deep learning. | FastAPI services, containerization with Docker and Kubernetes, cloud deployment, and LLM gateways for routing and control. |
| Layer | Technologies |
|---|---|
| Language & API |    |
| LLM Frameworks & Orchestration |     |
| Agent Memory |  |
| Vector Databases |    |
| Similarity Search |  |
| Graph Database |  |
| Relational, NoSQL & Cache |    |
| Web Search for Agents |  |
| LLM Gateways & Routing |   |
| Evaluation & Tracing |    |
| Monitoring |  |
| Guardrails & AI Safety |   |
| AI Coding Assistants & Harnesses |    |
| Machine Learning |     |
| Deep Learning |    |
| Data Processing & Analytics |   |
| Visualization & Data Apps |    |
| Cloud & DevOps |     |
Beyond LLM systems, I keep building time series projects and applied analytics solutions:
- Forecasting: trend and seasonality analysis, demand and behavior prediction
- Risk: anomaly and fraud detection
- Model integrity: leakage detection and leakage-safe validation
- Customer analytics: RFM-based segmentation
- Process: end-to-end delivery following CRISP-DM
I'm looking for roles where I can build and deploy real AI systems:
| Primary roles | Also a strong fit |
|---|---|
| AI Engineer | ML Engineer |
| Forward Deployed Engineer | Applied AI Engineer |
| LLM Engineer | Related AI and data roles |
| Agentic AI Engineer | |
| Data Scientist |
I'm always open to conversations about agentic AI, LLM systems, time series, and production ML. If you're building something interesting, reach out.
