Kıvanç Yüksel

I have always been interested in machines and software. One of the earliest memories I can remember is me building imaginary machines with big building blocks in the kindergarten I was attending.    My interest grew with me. This is the reason why I choose to study Electrical and Electronics Engineering in my Bachalor's degree. Later on, I focused mainly on Computer Vision applications during my Master's degree. During my studies I published 4 papers and graduated with a very good GPA.    Right after my studies, I started to work as a Machine Learning Engineer. Since then, I have worked on many different Computer Vision, NLP, and audio processing applications which have been used by many people.    I have experience both in academia as a Machine Learning Researcher, and in industry as a Machine Learning Engineer. Therefore I know how to combine theory and practice in a well suited way. One of the biggest issues I had in my studies was that most of the instructors just didn't care enough about the lectures, and they didn't care about whether or not the students were getting what they were talking about. I suffered from that a lot, and my intention is to make my courses as clear and detailed as possible, and my goal is to make everyone truly understand the content of my lectures.