About me
I am currently a Software Engineer at Mismatch which creates software for automated live streaming and tactical analysis of basketball games powered by computer vision and machine learning. My work involves:
- Implementation of computer vision modules, e.g. camera calibration, OCR, background subtraction
- Porting research code into production-ready machines (code optimization, GPU utilization, communication via REST APIs)
I have obtained a Diploma (Integrated Master) in Electrical and Computer Engineering from the University of Patras, Greece. My expertise is in Computer Software and Programming. Following my undergraduate studies, I enrolled for the Postgraduate program "Data-Driven Computing and Decision Making" at the Department of Computer Engineering and Informatics (CEID) where I successfully completed my postgraduate studies and obtained a Master of Science degree. The postgraduate courses made me built a solid mathematical foundation of machine learning and the projects of the courses helped me improve my research skills in machine learning and data science. During my postgraduate studies, I have supported as a teaching assistant the following undergraduate courses:
- Intelligent Systems and Robotics (CEID_NE552) (March 2021 - June 2021)
- Databases (CEID_ΝΥ334) - (November 2019 - February 2021)
- Object-Oriented Programming (CEID_NY134) - (March 2020 - June 2020)
In my master thesis, I had the chance to be supervised by Dr. Konstantinos Chatzilygeroudis who introduced me to the fascinating world of robotics and intelligent systems. Particularly, I performed research on Sim2real Methods for Visual-based Imitation Learning. My master thesis raised some important research questions which I am willing to explore deeper by pursuing a PhD in the aforementioned field. My main research interests include Computer Vision, Robot Learning and Machine Learning.
Aside from academic and industrial work, I have a diploma in Byzantine Music and I serve as a cantor in my neighborhood's church. My interests include cycling, digital photography, observational astronomy and reading popular-science books. Some of the books that I really enjoyed reading and I recommend are:
- The Ethical Algorithm: The Science of Socially Aware Algorithm Design by Aaron Roth & Michael Kearns (2019) (Also check the authors' presentation here)
- Human Compatible: AI and the Problem of Control by Stuart Russell (2019)