About Me

I am a software engineer based in New York City. I worked at Amazon between 2022 and 2026 in Seattle and Toronto before moving to New York. I enjoy building scalable solutions and talking about them. Prior to the tech world, I finished my Master’s in Computer Science at the University of Southern California (USC).

I started at USC as a PhD student and worked in a brain computer interface (BCI) laboratory as a research assistant. I had worked at the intersection of statistical signal processing and control theory, aiming to develop models for large-scale brain networks during direct electrical stimulation. These models are ultimately designed to be used for control purposes in closed-loop BCI applications.

I received my B.S. in Electrical and Electronics Engineering at Bilkent University in 2019. I spent a summer as a Data Science Intern in Agency for Science, Technology and Research (A*STAR) in Singapore. I studied on the detection of epileptic seizures based on EEG data by using both traditional machine learning and deep learning approaches, and developed SeizNet.

Outside of work, I like to be outside, walking, running, biking and collecting geocaches.