I am a Computer Science researcher with expertise in machine learning, energy management systems, and software engineering. I am currently pursuing a Ph.D. in Computer Science at the Aristotle University of Thessaloniki, focusing on energy demand forecasting, recommender systems, and micro-grid management using deep learning.

Previously, I worked as a Data Scientist and Software Engineer at Net2Grid Hellas, where I developed energy time series disaggregation algorithms, deployed appliance detection solutions, and optimized machine learning models for energy analysis.

I hold a B.Sc. in Mathematics (2016), an M.Sc. in Applied Mathematics (2019), and a B.Sc. in Computer Science (2023), all from the Aristotle University of Thessaloniki. My academic work includes research on intelligent energy management systems and machine learning applications in energy consumption analysis, with publications in high-impact journals and conferences.

My technical skills include programming in Java, Python, and C++, with experience in frameworks like TensorFlow, Pandas, and Scikit-Learn. I also have expertise in cloud computing (AWS), databases (MongoDB, SQL), and mathematical optimization.

In addition to my research, I have experience teaching university-level courses in Functional Programming and Software Engineering.

Languages: English (C1), German (C1)