Mahir Efe KAYA

• Implemented and documented Java 9 Modularization and GraalVM, hence providing module independence • Automated external module integration into Maven, and optimized Maven build pipeline, reducing build time by %54. • Developed Python‑based visual log analysis tool with Asciidoctor for improved debugging efficiency • Implemented seamless integration between DICOM visualization tools and Spring code with .ini files...

• Developed real‑time road monitoring dashboards using Grafana and LogQL, hence improving monitoring of 5 aspects of traffic. • Optimized CI/CD pipeline and containerization process for RPM Builder.

• Developed network performance optimization tools using C++ and DPDK. • Implemented high‑performance circular and linear buffer management system. • Created TCP/UDP package generation and management system with DPDK framework.

As a part of the Loyalty Team, in which mostly Machine Learning practices was used. But before that I got thesimple education of REST and conducted a REST api. For my machine learning practice I had created analgorithm to predict the next flight of the customer with the given data.