Enis Furkan Kırmızı

I’m an Artificial Intelligence and Data Engineering graduate who enjoys working across the whole lifecycle of intelligent systems: collecting and moving data reliably, training and evaluating models honestly, and shipping them behind clean, well-tested APIs.

My interests span machine learning, deep learning, computer vision, and NLP on the modeling side, and data pipelines, databases, and backend development on the engineering side. I’m happiest at the intersection — where a model only matters if the data flowing into it and the service around it are solid.

My goal is to grow into an engineer who can own an ML product end to end: from an Airflow DAG ingesting raw events, to a PyTorch model in a registry, to a FastAPI service running in a container someone actually depends on. I believe in simple systems, measured claims, and readable code — if a result can’t be reproduced, it doesn’t exist.