We worked on an EU-supported project with a company that produces plastic automobile parts. I developed a system that detects whether the parts in the production line are faulty and, if so, where the fault is, by segmenting with deep learning. Additionally, I implemented a server-client model to speed up the system and make it runnable on remote computers.

I prepared the computer vision and deep learning parts of a training consisting of one-day entry-level workshops to be given to the R&D team of an automotive company and conducted these workshops.

I worked on face recognition with deep learning. Using low-shot learning and triplet loss, I developed a highly successful model that can recognize users even with a single image. After the project was completed, I worked on anti-spoofing methods for a while.

I received basic training on computer vision, machine learning and deep learning. I also studied C++ by following a book.

I got a certification by finishing a deep learning course. I installed an pre-existing object detection application that works with a three-dimensional dataset. I made modifications to it, ran it and reported the results.