Started this master's program focused on Machine Learning in one of the world's best universities to study Data Science. Hopefully, this 2-year journey will solidify my theoretical background and strengthen my passion for the field.

Received the transfer to the Electrical & Computer Engineering School of the Aristotle University of Thessaloniki, based on academic and financial criteria. 5-year school equivalent to B.Sc. + M.Sc. combined. Final GPA: 8.88/10.00.

Thesis: Generative Adversarial Networks for pose and style selection in fashion design applications

Got admitted to the Electrical & Computer Engineering department of the Engineering School at the Democritus University in Xanthi, Greece, via the panhellenic exams system. There I attended the first two years before my position was transferred to Thessaloniki.

Supervisor: Prof. Hedvig Kjellström. Got offered this placement in prof. Kjellströms’s group, at HiSS Project. The main tasks involve modeling causalities in human behavior and interactions.

Conducted this research-based thesis in ISSEL group, Aristotle University, wherein we tried to implement state-of-the-art GAN architectures to perform realistic transformations on images of people wearing fashion garments. Explored & experimented with models based on StyleGAN, CycleGAN, pix2pix, among others. With over 15.5K lines of python code (PyTorch) and over 500 hours of GPU training, I consider this thesis as the best possible start to deep learning research.

Created a custom-made, fully functional CRM + ERP web app, using PHP and Laravel. Developed eurotechnik.gr and its custom-made CMS, also in Laravel, as well as its dedicated server which was set up from scratch. Administered exhibitions in Greece and created all the company graphics from technical drawings to print-ready leaflets.

Selected as the head of the backend team of the biggest conference of E.C.E. students in Greece with over 5K attendees. We created the sfhmmy.gr website, a custom CMS and a REST API in PHP and Laravel, and set up the server to handle the big traffic requirements of the conference days.