Summary
Ayberk Cansever is a Principal AI Engineer based in California with two decades of experience designing and operating distributed, high-performance systems. He blends backend and platform engineering with a strong data science practice, recently specializing in practical LLM applications like agentic workflows and LLM-assisted development to speed iteration without sacrificing testing and reliability. His hands-on toolkit spans Java, Scala, Go, Python, and TypeScript across cloud-native stacks—Kafka, Kubernetes, Spring Boot, Redis, Couchbase, Elasticsearch—and he’s delivered architectures for +50 microservice k8s platforms supporting hundreds of thousands of daily deliveries. Known for simplifying complexity, Ayberk drives observability and operational rigor while mentoring teams and leading logistics and q-commerce engineering efforts. He holds graduate study in Data Science and Software Engineering and brings a rare combination of formal analytics training and deep production systems experience. An understated but telling detail: alongside enterprise-scale systems work he teaches software engineering and operating systems, signaling a commitment to knowledge transfer and practical pedagogy.
10 years of coding experience
18 years of employment as a software developer
Master's degree Software Engineering, Master's degree Software Engineering at Boğaziçi University
Master's degree Data Science, Master's degree Data Science at East Carolina University