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Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Starstruck

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vicentinileonardo/README.md

Hi, I’m Leonardo Vicentini

My interests include cloud computing, distributed systems, AI systems, platform engineering, and software engineering in general.


I hold a Bachelor's degree in Computer Science from the University of Trento, Italy.

In 2024, I did an internship at the European Space Agency, as a Software Engineer (Cloud & Infrastructure). In particular, I worked in the Mission Operations Infrastructure IT section at the European Space Operations Centre (ESOC) in Darmstadt, Germany.

In 2025, I graduated with a Master's degree in Computer Science from the University of Trento, Italy with a theses titled: "A Policy-Driven Kubernetes-based Architecture for Resource Management in Multi-Cloud Environments" developed in collaboration with Krateo PlatformOps.


Currently, I am a Software Engineer at Krateo PlatformOps, where I:


I truly believe in continuous learning and self-improvement, and I’m always digging into new technologies and paradigms. The world of Computer Science is vast and ever-evolving, and among other things, I love the fact that there is not a single day where you don't learn something new or understand a concept better than before.


Currently exploring (June 2026):


Learning is the only thing the mind never exhausts, never fears, and never regrets.

~Leonardo da Vinci

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  1. DWT-SVD-digital-watermarking DWT-SVD-digital-watermarking Public

    Repository related to the Catch the Mark competition of the Multimedia Data Security graduate course of University of Trento, academic year 2022/2023.

    Python 31 7

  2. krateoplatformops/oasgen-provider krateoplatformops/oasgen-provider Public

    Go 29 2

  3. krateoplatformops/rest-dynamic-controller krateoplatformops/rest-dynamic-controller Public

    Go 1

  4. distributed-cache distributed-cache Public

    Multi-level distributed cache built in Java with Akka framework

    Java

  5. mlflow-cratedb-seaweedfs mlflow-cratedb-seaweedfs Public

    This repository contains the configurations to deploy MLflow tracking server with CrateDB as the metadata store and SeaweedFS as the artifact store in a Kubernetes cluster.

    Python

  6. query-recommendation-system query-recommendation-system Public

    Repository related to the project of the Data Mining graduate course of University of Trento, academic year 2022/2023.

    Python 2