Library

Books and resources that shape my thinking and fuel my work in software engineering, ML, and linguistics.

Bookshelf

1 book

Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow

Aurélien Géron

A practical guide to machine learning using Python's most popular libraries. Covers everything from classical ML algorithms to deep learning with TensorFlow and Keras.

Machine LearningCurrently Reading

Areas of Interest

Natural Language Processing

The intersection of linguistics and AI. Core to my work on Grammario—understanding how machines can parse, analyze, and generate human language.

Machine LearningLinguisticsTransformers

Systems Design

Building scalable, maintainable software architectures. From microservices to monoliths, understanding trade-offs is key.

Backend EngineeringDevOpsClean Architecture

Agglutinative Languages

Languages like Turkish that stack morphemes to create complex words. A fascinating challenge for NLP systems and a core focus of Grammario.

TurkishLinguisticsMorphology

Go Programming

Exploring Go for backend systems. Its simplicity, performance, and excellent concurrency model make it ideal for building high-throughput services.

BackendConcurrencyPerformance

Always learning. Always building.