| Jan 24, 2025 | Excited to announce that our paper, “NeCo: Improving DINOv2’s spatial representations in 19 GPU hours with Patch Neighbor Consistency,” has been accepted to ICLR 2025! 🎉 You can read it here. |
| Dec 01, 2024 | Excited to begin my PhD journey at the University of Technology Nuremberg, focusing on Self-Supervised Learning and synthetic data to improve Vision Models. Grateful to work under the supervision of Dr. Yuki M. Asano. Looking forward to contributing to advancements in AI research! |
| Aug 01, 2024 | Honored to graduate cum laude from the University of Amsterdam with an MSc in Artificial Intelligence! Grateful for the opportunity to participate in the Ellis MSc Honours Programme. |
| Oct 15, 2023 | Published a reproducibility study in ReScience C: “Reproducibility Study of ‘Label-Free Explainability for Unsupervised Models.’” Read more here. |
| Aug 20, 2023 | Thrilled to have been given the “Best Ready for Production Solution” by the Summer of AI organisation for improving the CO₂ product-category matching algorithm at South Pole during my internship, increasing its top-1 accuracy by 25.2% and deploying the enhanced models to production using Kubernetes. |
| Mar 15, 2021 | Proud to win 1st place in the “Go Green, Go Digital, Go Start-up!” competition for my project, Fooderloo—a sustainable solution to reduce food waste in Cyprus. |
| Aug 31, 2020 | Started my journey at Amazon Data Services in Ireland as part of the Consumer Reliability Engineering – Analytics (CRA), Operational Intelligence team. Excited to contribute to the company’s innovative projects and collaborate with talented colleagues. |
| Jul 10, 2020 | Delighted to be awarded “Best & Most Innovative Solution 2020” in the Cyprus Digital Championship for Students for Fooderloo, tackling food waste in environmentally friendly ways. |