2018-2020 (expected)Yeditepe University
Master of Science (M.S.), Computer Engineering
Graduates will be scientists with theoretical and practical background that is sufficient to conduct advanced researches in the field of computer and computing systems, information analysis and advanced computer architecture, and who are capable of developing productive and creative solutions that are crucial in design and implementation projects.
Bachelor of Science (B.S.), Computer Engineering
I have learnt fundamental principles and modern practices of the field to easily identify, formulate and solve engineering problems with a systematic approach. Also, It has shown me the methods of adapting rapidly changing technological advances, playing critical roles in multidisciplinary teams.
May 2020 - PresentPlusMinusOne Inc.
Taking part in the development, improvement and maintenance of the mobile applications, migrating some existing projects by using new software architectures and up-to-date programming languages.
January 2019 - PresentYeditepe University
I have been currently working in Yeditepe University as both teaching and research assistant. My main duties are gathering information for research papers on computer engineering topics, collaborating with co-writers, researchers and faculty to produce publication, editing/rewriting articles per conference specifications, tutoring students in labs and maintaining class grades.
September 2018 - April 2019ING Turkey
Senior Software Engineer
Developed ING Turkey’s digital banking, called ING Mobil, is a mobile banking app that allows customers to conduct a wide range of actions, such as transferring money, managing accounts, viewing card transactions and more.
December 2016 - September 2018ING Turkey
Developed ING Turkey’s digital wallet, called ParaMara, is a mobile banking app available to both ING and non-ING customers. It allows people to conduct a wide range of actions, such as transferring money, withdrawing money from an ING ATM via a QR code, asking for cash, and more.
Detecting Defected Crops: Precision Agriculture Using Haar Classifiers and UAVMobiWIS 2019: Mobile Web and Intelligent Information Systems pp 27-40
This paper proposes a prototype UAV based solution, which can be used to hover over tomato fields, collect visual data and process them to establish meaningful information that can used by the farmers to maximize their crop. Furthermore, the findings of the proposed system showed that this was viable solution and identified the defected tomatoes with the success rate of 90%.