Computer Engineer and Junior AI/ML Engineer focused on building practical machine-learning systems, LLM applications, and production-oriented AI workflows.
- LLM applications, RAG, MCP, and agentic systems
- Applied machine learning and time-series forecasting
- MLOps workflows with MLflow, FastAPI, Docker
- Edge AI
An end-to-end churn prediction workflow with model training, experiment tracking, a FastAPI inference service, Docker, and automated testing.
An MCP server for schema-aware database querying and controlled writes, with two-step approval, DDL blocking, row limits, and audit logging.
A rolling demand-forecasting and stock-planning system combining Amazon Chronos with EDI forecasts while preventing look-ahead bias.
Memory-efficient fine-tuning of the Turkish Kumru-2B language model on medical exam data using QLoRA and Unsloth.
Python · PyTorch · TensorFlow · scikit-learn · FastAPI · MLflow · Docker · PostgreSQL · Hugging Face · LangChain · Git
- Completing a B.Sc. in Computer Engineering at Bursa Technical University
- Looking for Junior AI/ML Engineer and AI Engineering opportunities
- Improving production ML, LLM application, and MLOps skills through hands-on projects