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Gaia Cecchi
IT

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About

UX researcher by training, LLM engineer by practice.

I work at the intersection of two disciplines that rarely share a desk: user experience research and applied large-language-model engineering. My degrees — both summa cum laude, in Communication Sciences and in Experience Design — trained me to start from people; my research position at the University of Siena trained me to end with working systems.

As a Research Scholar at the Department of Social, Political and Cognitive Sciences (DISPOC), I build and evaluate LLM-based systems with industrial partners: translating raw SIEM alerts into decisions non-specialists can act on, benchmarking sub-8B models on edge hardware, and designing retrieval pipelines for clinical data. Explainability is the through-line — not as a compliance checkbox, but as the property that makes AI usable by the people it is meant to serve.

What drives me is building AI where that combination matters: systems that real people — analysts, clinicians, technicians — can trust with real decisions.

Languages
ItalianNative
EnglishC1/C2 (CEFR)
Siena, Italy
Research Scholar · University of Siena (DISPOC)

Experience

Where I’ve worked.

  1. April 2025 – present · Siena, Italy

    Research Scholar

    University of Siena — Department of Social, Political and Cognitive Sciences (DISPOC)

    Applied AI research and development with industrial partners, focused on making LLM-based systems explainable, private, and deployable.

    • Cracker Breaker — AI module of a next-generation security product: LLM integration with the Wazuh SIEM to translate raw alerts into actionable intelligence for non-specialists.
    • SAAM — edge AI with SECO: benchmarking sub-8B LLMs on industrial chipsets and prototyping on-device assistants for privacy-sensitive diagnostics.
    • HEART — clinical AI: RAG over patient records, privacy-first OCR, and human-in-the-loop interface design for a surgical clinic.
  2. October 2022 – December 2024 · Siena, Italy

    Social Media Manager

    Taste of Italy Srl

    Ran multi-platform content strategy alongside my studies: trend and pattern analysis, bespoke content aligned to audience profiles, competitor analysis, and continuous iteration on user feedback.

Academic path

Where my reasoning came from.

Two summa cum laude degrees and a thesis path through Design Thinking — from Communication Sciences into applied AI, with research that turned into shipped products.

  1. 2022 – 2024

    110/110 summa cum laude

    MSc, Communication Strategies and Techniques — Technologies and Methods for Experience Design

    University of Siena

    ThesisThesis: designing an innovation path for Siena’s candidacy as a UNESCO City of Music.

  2. 2019 – 2022

    110/110 summa cum laude

    BSc, Communication Sciences

    University of Siena

    ThesisThesis: developing the getting-started mindset for Siena’s first energy community through Design Thinking.

Certifications

Verified capabilities.

A ledger of industry-issued skill badges and continuing training credentials.

AWS Educate Getting Started with Storage

Amazon Web Services Training and Certification

AWS Educate Getting Started with Storage

AWS Educate Introduction to Cloud 101

Amazon Web Services Training and Certification

AWS Educate Introduction to Cloud 101

AWS Educate Machine Learning Foundations

Amazon Web Services Training and Certification

AWS Educate Machine Learning Foundations

AWS Educate Getting Started with Compute

Amazon Web Services Training and Certification

AWS Educate Getting Started with Compute

AWS Educate Introduction to Generative AI

Amazon Web Services Training and Certification

AWS Educate Introduction to Generative AI

Edge AI Course

DISPOC — University of Siena

Edge AI Course

Energy Management for Real Estate

OpenCourse / Independent study

Energy Management for Real Estate

Corso di Marketing

Independent course

Corso di Marketing

Issued records and credentialing authority on Credly (opens in a new tab)