AI Researcher and Machine Learning Engineer with an advanced background in Artificial Intelligence Systems. Expert in building, training, fine-tuning, and optimizing deep learning models, LLMs, and RAG architectures. This core foundation is backed by practical project experience in multi-agent systems and inference optimization. Leverages the elite discipline and focus of a former professional athlete to seamlessly drive projects from theoretical research to enterprise-ready execution.

Work Experience

  • AI Researcher @ GPI (Remote) Jul 2024 – Present (Full-Time)
    • Specialize in building, integrating, and fine-tuning state-of-the-art AI models, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent workflows.
    • Design and deliver innovative AI-driven automation and decision-support solutions tailored for healthcare operators.
  • Software & Data Engineer @ SATE S.r.l. (Venice, Italy) May 2024 – Jul 2024 (Full-Time)
    • Migrated and integrated compiled MATLAB codebases onto bare-metal target machines, translating high-level algorithmic simulations into efficient, low-level hardware execution.
    • Optimized system latency and resource utilization by refactoring and cross-compiling mathematically complex software components for resource-constrained hardware environments.
  • Machine Learning Intern @ Photoroom (Paris, France) Apr 2023 – Sep 2023 (Internship)
    • Collaborated closely within the ML core team to explore, implement, and validate innovative deep learning approaches for upcoming Photoroom application features.
    • Accelerated production inference pipelines by optimizing complex machine learning models utilizing ONNX and TensorRT frameworks.
  • Software Engineering Intern @ Amazon AWS (Asti (Turin), Italy) Aug 2021 – Oct 2021 (Internship)
    • Engineered native gamepad peripheral support for the NICE DCV high-performance remote desktop streaming protocol using C and Rust.
    • Contributed to a high-impact, large-scale codebase while adapting to rigorous enterprise team-working and agile project management standards.
  • R&D Software Intern @ VUI (Remote) Mar 2021 – May 2021 (Internship)
    • Developed a complex conversational user simulator built specifically to generate synthetic training datasets for advanced dialogue systems.
    • Deployed the simulator framework to successfully train a reinforcement learning agent, serving as the foundational codebase for Bachelor’s thesis research.

Education

  • University of Trento (2021 – 2024) Master of Science in Artificial Intelligence Systems — Final Grade: 110/110 Cum Laude
  • University of Trento (2018 – 2021) Bachelor of Science in Computer Science — Final Grade: 110/110 Cum Laude

Skills

  • AI & Machine Learning: PyTorch, Pandas, VLLM, Ollama, LangChain, LangGraph, Model Fine-Tuning, RAG Architectures, Data Collection & Evaluation
  • Software Development: C, C++, Python, Java, Rust, Algorithms, Data Structures, Databases, Cybersecurity
  • Web Development: Node.js, Java Servlets, JavaScript, jQuery
  • Languages: Italian (Native), English (B2), Spanish (A2)
  • Core Competencies: Cross-functional Teamwork, Project Management, Technical Problem Solving, Agile Adaptation

Certifications & Awards

  • Cyberchallenge.it: Finished 3rd place in the local final and 12th place nationally representing the University team in rigorous competitive training (Reversing, Cryptography, Network Security, Pwning, Web Security).

Hobbies & Personal Interests

  • Sports: I was a competitive swimmer until 2020. I won several national medals between 2013 and 2017, won the Italian Youth Championship in the 100m freestyle (2015), and represented the Italian National Team at the European Youth Olympic Festival (EYOF).
  • Hiking: I enjoy hiking in the Dolomites. In 2022, my girlfriend and I completed the “Via Degli Dei” walk, trekking 130 km from Bologna to Florence in 6 days.