Onur Ferhat

Onur Ferhat has a diverse work experience in the software engineering field. Onur started their career in 2008 as a Full-stack Developer at Inveon, where they worked on web projects for various sectors. In 2009, they joined Imovasyon as a Full-stack Developer, contributing to the development of a QR code management system. Onur then moved to Banksoft as a Software Developer, where they worked on personalization of EMV-compliant chip cards for major Turkish and international banks.

In 2016, Onur joined Criteo as a Technical Solutions Engineer, where they closely collaborated with the sales team and clients to integrate advertisers into Criteo's retargeting platform. Onur also handled technical changes, troubleshooting, and reporting in advertisement campaigns. Additionally, they created tailored technical guides for multiple e-commerce platforms.

After Criteo, Onur became a Technical Lead at Vintra in 2020. Their responsibilities included building secure REST APIs for the company's SaaS product, containerization of existing systems using Docker, and working on scalability challenges. Onur continued to contribute to Vintra's software engineering team as a Senior Software Engineer until 2023.

In 2023, Onur joined OpenEye as a Senior Software Engineer. Further details regarding this role are not provided. Overall, Onur Ferhat's work experience showcases their expertise in software engineering, technical solutions, and project management.

Onur Ferhat completed their Bachelor of Science (BSc) degree in Computer Engineering at Boğaziçi University from 2004 to 2009. Onur then pursued a Master of Science (MSc) degree in Computer Vision at Universitat Autònoma de Barcelona from 2011 to 2012. Following their master's degree, they furthered their education at the same institution and obtained a Doctor of Philosophy (PhD) in Computer Vision from 2012 to 2017. In addition to their formal education, Onur Ferhat also obtained several certifications in the field of Machine Learning. Onur completed courses on classification, regression, and a case study approach through Coursera Course Certificates in 2016.