Software architect · Distributed systems · AI-augmented development
Looking across a career of more than twelve years, what stands out is not a single technology but a tendency: turning complex, high-volume work into simple, scalable systems. The path starts with geographic systems built on maps, runs through insurance platforms carrying millions of transactions, and arrives today at the question of how AI should be woven into software development.
Geographic information systems · Energy and public sector
The early years went into demanding projects built around spatial data, such as a GIS platform for disaster management and map-based management of energy distribution assets. The habit formed here shows up in everything that follows: model the data first, then write the code.
Insurance and finance · Enterprise integration
The centre of gravity is large insurance systems. Policy issuance, collections and health claim authorisation are low-tolerance, high-volume domains, and the work here meant building microservices with Spring Boot, Kafka, Redis and Oracle. The real contribution is less about individual features and more about the architectural improvements that keep the system standing, and fast, under load.
Çevik Çözüm · Founder
Query Runner grew out of a problem that kept coming back in enterprise projects: slow, scattered database troubleshooting. It marks a shift from solving other people's problems to putting a product of his own on the table.
Optona · AI solutions architect
The current focus is LLM-assisted development workflows, intelligent agents and automation. The discipline learned in the enterprise world is used here to connect experimental technology to real business problems.