I am a Machine Learning Engineer with BSc and MSc degrees in Computer Science from Bilkent University. I have over six years of experience working on end-to-end machine learning systems — from research and modeling to deployment, monitoring, and optimization. I am currently working at the Central Bank of Türkiye, where my work focuses on data-driven modeling for financial infrastructures and real-time nowcasting of macroeconomic indicators.

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  Programming and Version Control

  Python, Java, SQL, Git

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  Machine Learning & Statistical Modeling

  PyTorch, TensorFlow, scikit-learn NumPy, pandas, OpenCV Classical ML, deep learning, time-series modeling

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  Generative AI & LLM Systems

  RAG: LangChain, embedding-based retrieval pipelines Vector DBs: Qdrant, FAISS Fine-tuning: LoRA Prompt engineering & evaluation

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  MLOps & ML Systems

  Docker, MLflow, Prefect Kubeflow pipelines Model serving: Triton Inference Server

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  Cloud & Infrastructure

  AWS (S3, EC2, SageMaker, Bedrock) Scalable deployment & inference pipelines

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  Backend / Frontend / Interfaces

  FastAPI, SQLLite, PostgreSQL, Alembic, React, Next.js, Gradio

In this section you will find detailed case studies of projects I have worked on. Each case study outlines the problem, my approach, the technologies used, and the outcomes achieved. These studies highlight my problem-solving skills, technical expertise, and ability to deliver impactful solutions. Also, you can see the system design of each project to understand the architecture and workflow better.