Master's studies focused on Machine Learning in one of Europe's best universities on the field. Focused on Computer Vision and Graphics with Deep Learning.

Master's Project: Monocular Dynamic Motion Capture: A Regression-Optimization Hybrid Approach
Supervisor: Prof. Hedvig Kjellström

Electrical & Computer Engineering Diploma at Aristotle University of Thessaloniki, Greece. 5-year school equivalent to B.Sc. + M.Sc. combined. Final GPA: 8.87/10.00.

Diploma Thesis: Generative Adversarial Networks for pose and style selection in fashion design applications
Supervisor: Prof. Pericles Mitkas

Working on volumetric 3D representations for humans. Currently trying to make Gaussian splats train fast and deform realistically. Advised by Prof. Aljosa Smolic.

Research Engineer on 3D Computer Vision
Supervisor: Prof. Hedvig Kjellström (HiSS Project)
Working on 3D Deep-Learning Computer Vision techniques to model human interactions. 3D human avatars are among the interesting directions of this work.

Teaching Assistant - DD2380
TAing in the course DD2380 - Artificial Intelligence under the coordination of prof. Iolanda Leite. Topics include Search algorithms, HMMs, Decision theory, and Reinforcement Learning.

Teaching Assistant - DD2434
TAing in the course DD2434 - Advanced Machine Learning under the coordination of prof. Jens Lagergren. Topics include Probabilistic ML, Graphical Models, Variational Inference, and Graph Neural Networks.

Teaching Assistant - DD1420
TAing in the course DD1420 - Foundations of Machine Learning under the coordination of prof. Gustav Henter. Topics include Probabilistic ML, Variational Inference, and Deep Learning.

Working on Autonomous Driving R&D Department of SCANIA on Data-Driven Scenario-Based Validation (SBV) of Autonomous Driving S/W stacks. From 3D Deep-Learning based perception to traffic scenario identification and edge case analysis.

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.