CV

Education

09/2017 - 07/2023: Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece

• Diploma in Electrical and Computer Engineering (5-year integrated BSc & MSc degree; 300 ECTS)
  • Grade: 9.22/10 (graduated 3rd in my class of 146 students)
  • Concentration: Electronic and Computer Engineering
  • Relevant Coursework: Data Analysis, Optimization Techniques, Computational Intelligence, Pattern Recognition, Neural Networks - Deep Learning, Machine Learning, Time Series, Software Engineering
  • Thesis: “Few-Shot Learning Models for Load Forecasting in Smart Grids” (Grade 10/10)

Work experience

• 10/2025 - Present: Researcher for Gen-AI and Optimisation, Kingston University, Kingston upon Thames, UK
  • Lead research on multi-concept customization of diffusion models with emphasis on training-free LoRA composition
  • Develop novel benchmark-level evaluation protocols for generative models based on CLIP, DINOv2 and ArcFace
  • Prepare and co-author 3 first-author and 2 collaborative research papers
• 09/2023 - 08/2025: AI Researcher / Engineer, MetaMind Innovations, Thessaloniki, Greece
  • Conducted applied research across 3 Horizon Europe projects (REALM, TALON, RAIDO)
  • Co-authored 8 research papers (4 first-author) and contributed to 4 Horizon Europe proposals
  • Contributed to 5+ technical deliverables covering medical AI evaluation, few-shot object detection and energy-efficient vision models
• 09/2022 - 07/2023: Research Assistant, Aristotle University of Thessaloniki, Thessaloniki, Greece
  • Carried out research on few-shot and meta-learning methods for time-series forecasting
  • Analysed real-world electricity load data from 7,821 consumers of a European energy provider
  • Proposed a forecasting model achieving 12.5% improvement over baseline methods leading to a peer-reviewed journal publication
• 03/2022 - 05/2022: Analytics R&D Intern, NET2GRID, Thessaloniki, Greece
  • Developed machine learning and deep learning models for day-ahead peak electricity demand forecasting
  • Performed data preprocessing and feature engineering on real-world smart meter and weather data
  • Contributed to a peer-reviewed conference publication benchmarking state-of-the-art forecasting models

Skills

• Programming: Python, Java, C/C++, Matlab, Latex, Shell, SQL
• Software Tools: PyTorch, TensorFlow, Keras, scikit-learn, FastAPI, Streamlit, Git, CUDA

Conferences & Summer Schools

• 03/2026: 21st International Conference on Computer Vision Theory and Applications (VISAPP), Marbella, Spain
• 09/2024: 1st International Conference on AI in Healthcare (AIiH), Swansea, United Kingdom
• 08/2023: Mediterranean Machine Learning Summer School by Google DeepMind, Thessaloniki, Greece
• 04/2019: 11th Conference of Electrical & Computer Engineering Students, Thessaloniki, Greece

Languages

• English (fluent)
• French (intermediate)
• Greek (native)