Mert Kutay
About Mert Kutay
Mert Kutay is the Backend/AI Team Lead at SenpAI.GG, where he has significantly contributed to the development of the company's product and technology since 2020. He has expertise in computer vision, machine learning, and backend development, with a strong academic background in Computer Engineering and Electrical and Electronics Engineering.
Work at SenpAI.GG
Mert Kutay currently serves as the Backend/AI Team Lead at SenpAI.GG, a position he has held since 2020. He has been instrumental in the development of the company's products, contributing significantly from the initial concept to the deployment of full-scale web applications. His responsibilities include designing scalable cloud architecture on AWS, creating a CI/CD pipeline, and developing machine learning algorithms using scikit-learn. Prior to his current role, he worked as an AI Engineer at SenpAI.GG from 2018 to 2020, where he implemented computer vision algorithms using TensorFlow and OpenCV.
Education and Expertise
Mert Kutay holds a Master of Science (MS) in Computer Engineering from Istanbul Technical University, where he studied from 2019 to 2022. He also earned a Bachelor of Science (BS) in Electrical and Electronics Engineering from Boğaziçi University, completing his degree from 2013 to 2018. His educational background provides a solid foundation in both computer engineering and electronics, equipping him with the skills necessary for his roles in AI and backend development.
Background
Before joining SenpAI.GG, Mert Kutay gained experience as an R&D Intern at SESTEK Speech Enabled Software Technologies in 2017. During his two-month internship, he was exposed to research and development processes in the tech industry. His early career experiences laid the groundwork for his later contributions to AI and backend development at SenpAI.GG.
Achievements
Mert Kutay has played a crucial role in building SenpAI.GG's product, contributing to nearly every phase of development. He was a main contributor to the backend project, utilizing Django for development. Additionally, he designed an automatic video content generation system, which included training an object detection model for League of Legends and implementing video editing modules. His work has contributed to the platform's growth, which now serves hundreds of thousands of users in the Esports industry.