Summary
Tutku Gayda is an AIOps and z/Software engineer with 10 years of experience who applies AI and ML to optimize and automate operations on IBM zSystems and z/OS. Currently at IBM Expert Labs, Tutku combines deep interest in neural networks and z/Architecture with hands-on data analysis and AI software development to create practical, high-impact solutions for mainframe environments. Previous research roles include programming implantable and wireless microchips and preparing biomedical data at Rice University, reflecting a rare blend of embedded systems, communications protocols, and data engineering expertise. Based in Poland and pursuing advanced studies in AI, Tutku brings both academic rigor and production-focused engineering to bridge microchip-level implementations with large-scale AI on legacy enterprise platforms. An appetite for unconventional integrations—like combining microchip-level optimization with z/Architecture-aware neural models—drives Tutku’s work toward novel, mission-critical applications.
10 years of coding experience
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at University of York
AGH University
English