Biography
Prior to his PhD studies, Petros has worked in various roles within Data Science and AI, including positions as:
- DevOps Engineer at HF Markets,
- Data Scientist/Analyst at KPMG and The Cyprus Institute,
- ML Engineer at Hyperion Systems Engineer Group,
- NLP Engineer at MantisNLP and TeachFlows,
- and Prompt/Generative AI Engineer at Nolej.
These experiences have provided him with practical insights into real-world AI applications and challenges.
His PhD research focuses on machine unlearning, an emerging field that explores how machine learning models can selectively forget specific training data while maintaining their overall performance. This capability is increasingly important for privacy-preserving AI, addressing data removal requests, and ensuring model adaptability without the computational burden of complete retraining, particularly in the context of data protection regulations and responsible AI systems.