Career

The full picture — every entry below is a markdown file, and the ones marked cv: true also build the CV.

  • type work date 2025-02 → present location Modena, Italy

    AI & Analytics Engineer

    Tetra Pak

    Full-time AI & analytics engineer, external consultant at Tetra Pak (employed by Feab sistemi srl).

    VLMPyTorchAnalytics

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    Since February 2025 I work full time at Tetra Pak as an AI & Analytics engineer, as an external consultant employed by Feab sistemi srl.

    The role continues the vision-language model work I started as an intern — adapting models such as CLIP and SigLIP to domain-specific industrial data — and extends it with analytics engineering for the Development & Technology department.

  • type work date 2024-08 → 2025-01 location Modena, Italy

    Artificial Intelligence Intern

    Tetra Pak

    Six-month AI engineering internship in the D&T department: adapting vision-language models to domain-specific data for automated quality control.

    CLIPSigLIPFine-tuningPyTorch

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    Tetra Pak is a Swedish multinational specializing in food packaging and processing solutions, operating in over 160 countries with more than 25,000 employees.

    During my internship as an AI engineer in the D&T department, I focused on adapting vision-language models to domain-specific data, to improve the efficiency of the company’s quality-control process by automating the test environment. I researched and implemented state-of-the-art models such as CLIP and SigLIP, and devised ways to adapt them to Tetra Pak’s specific use case.

    The work ran the full length of a real ML project: data preprocessing, manual annotation of a dataset of about a thousand image–text pairs (a lesson in how much data quality matters), and fine-tuning with transfer-learning techniques to improve performance on domain-specific data.

    At the end of the internship I presented my findings and recommendations to the team, highlighting the potential benefits of integrating vision-language models into the quality-control process. The work was well received and led to my current full-time role.

  • type education date 2022 → 2025-04 location Modena, Italy

    MSc, Computer Science — Artificial Intelligence

    University of Modena and Reggio Emilia

    Thesis: Fine-tuning Vision-Language Models for Domain-Specific Image Retrieval with Small-scale Datasets.

    Vision-Language ModelsImage Retrieval

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    Master’s degree in Computer Science with a specialization in Artificial Intelligence.

    Thesis: Fine-tuning Vision-Language Models for Domain-Specific Image Retrieval with Small-scale Datasets — developed in collaboration with Tetra Pak during my internship there.

  • type education date 2017 → 2021 location Modena, Italy

    BSc, Computer Science

    University of Modena and Reggio Emilia

    Thesis: Variable Neighborhood Search — optimal placement of microservices in fog architectures.

    OptimizationFog Computing

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    Bachelor’s degree in Computer Science.

    Thesis: Variable Neighborhood Search: collocazione ottimale di microservizi nelle architetture fog — heuristic optimization for placing IoT microservices on fog nodes. The work contributed to a peer-reviewed paper published in Algorithms (MDPI).

  • type course date 2021-10

    AWS Solution Architect

    Tree srl

    Course on designing scalable, highly available and fault-tolerant systems on AWS, with a focus on cost constraints and Quality of Service.

    AWSCloud Architecture

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    Tree was founded in 2011 to drive innovation in Southern Italy; by 2016 it was among Italy’s first innovative SMEs and joined the international group Opinno.

    The course covered deploying and managing open-source applications on AWS with a focus on cost constraints and Quality of Service (QoS): designing scalable, highly available and fault-tolerant systems using AWS best practices and cost-optimization strategies.

Coding
Python · C · C++ · Java
ML / Data
PyTorch · Hugging Face · Pandas · NumPy · Scikit-Learn · Plotly · Streamlit
AI
VLMs · LLMs · RAG · MoE · Fine-tuning
Databases
PostgreSQL · MySQL · SQLite · Weaviate · PGVector
DevOps
Docker · Kubernetes · CI/CD pipelines · AWS
Languages
Italian (native) · English