Summary
Abdullah Kavakli is a research-driven data scientist and research assistant with five years of experience building and optimizing machine learning and big data solutions, currently pursuing an MS in Computer Engineering at Istanbul Technical University. He has delivered high-accuracy ML models and applied NLP for sentiment analysis while accelerating classical data-mining algorithms (Apriori, GSP, PrefixSpan) with GPU and cluster implementations that achieved up to 100x speedups. Abdullah combines cloud and DevOps know-how—having implemented Linux From Scratch projects and deployed environments with Terraform, Ansible, Docker, and GCP—with hands-on parallelization using Numba and PySpark. His work spans academic research, teaching AI and optimization courses, and industrial projects (TÜBİTAK/Turkcell and Jotform), giving him a strong bridge between theoretical methods and production-grade systems. He maintains an active portfolio and code presence (abdullahkavakli.com, GitHub, Kaggle), reflecting a practical focus on reproducible, high-performance data engineering.
5 years of coding experience
1 year of employment as a software developer
Lisans Derecesi, Computer Engineering, Lisans Derecesi, Computer Engineering at Pamukkale Üniversitesi
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Istanbul Technical University
İngilizce, Turkish