M.Sc. Big Data & AI student building RAG systems, deep learning models and the pipelines that ship them. I like AI that works in real products, not only in notebooks.
I studied Mathematics Engineering at ITU, and now I'm doing my M.Sc. in Big Data & Artificial Intelligence at SRH Berlin, focusing on Generative AI and Machine Learning.
I build things end to end: from RAG pipelines and fine-tuned vision models to the FastAPI services, Docker images and CI/CD that keep them running. Before Berlin, I worked as an analyst at KPMG Turkey, explaining tech results to both engineers and non-technical people.
And yes — I still love the math under the hood.
From retrieval pipelines to deployed vision models — each one tested, containerized and shipped.
What I reach for, grouped by where it lives in the stack.
Istanbul → Berlin, math → machine learning.
Focus on Generative AI, deep learning and deploying ML systems.
Supported client projects on data and technology with cross-functional teams, reporting results to technical and non-technical stakeholders.
Where the love for optimization, probability and proofs began.
I write about the math behind AI.
How the minimax theorem helps AI make safe decisions under uncertainty and competition — from saddle points and mixed strategies to poker bots and fraud detection.
A tiny search-based AI agent. You're X, the AI is O. Before every move it simulates every possible future of the game and picks the safest path. Spoiler: the best you can do is a draw.