Dagistan Karadeniz
About Dagistan Karadeniz
Dagistan Karadeniz is a Software Architect based in London, England, with a background in data engineering and backend development. He has worked for various companies, including Callsign and Panasonic Eco Solutions Türkiye, and has a strong focus on designing scalable systems and leveraging AI/ML technologies.
Current Role at Callsign
Dagistan Karadeniz currently serves as a Software Architect at Callsign, a position he has held since 2023. In this role, he focuses on designing microservices-based solutions that support the Intelligence team in identity verification and fraud prevention. His work emphasizes the development of scalable and secure systems, leveraging his extensive experience in software engineering.
Previous Experience at Callsign
Dagistan Karadeniz previously worked at Callsign in various capacities. He served as a Senior Data Engineer from 2020 to 2021 and as a Data Engineer/Machine Learning Engineer in 2022. His contributions during these roles included designing systems that utilize data and machine learning to enhance user experiences.
Career Background in Software Engineering
Dagistan Karadeniz has a diverse background in software engineering. He worked as a Senior Backend Engineer at Travelex and iManage in 2018. Prior to that, he held positions at Panasonic Eco Solutions Türkiye, where he was a Software Engineer Development Lead and Senior Software Engineer. His career began at CEVA Logistics as a Software Engineer in 2011.
Education and Academic Qualifications
Dagistan Karadeniz holds a Bachelor's degree in Computer Science Engineering from Marmara University, which he completed from 2006 to 2011. He furthered his education at the same institution, earning a Master's degree in Computer Science from 2011 to 2013. His academic background provides a solid foundation for his expertise in software architecture and engineering.
Technical Skills and Areas of Expertise
Dagistan Karadeniz has a strong focus on designing scalable, reliable, and secure systems. He is proficient in technologies such as Java, Spring Boot, and AWS. His expertise extends to AI/ML, MLOps, and serverless architectures. He also utilizes tools like Docker, Kubernetes, Kafka, Cassandra, and Terraform to enhance system architecture.