Computer Science and Engineering
🇳🇴 Erasmus Programme, University of Oslo, Norway
Data Science
🇮🇹 Master Degree, University of Verona, Italy
Banking and Finance
🇮🇹 Bachelor of Arts, University of Brescia, Italy
AI Researcher
🇯🇵 Current at Equmenopolis - Tokyo, JapanEQU.ai Developed SynapseLink, a real-time audio-driven facial animation system generating 52 blendshapes at 25 fps (204× faster than real-time, single GPU). Designed a custom training objective for expressiveness (+91.8% over baseline), achieving a 43× lighter model than FaceFormer/CodeTalker. Optimized the production pipeline with tensor caching (57× speedup), mixed-precision training, and streaming inference. Unity & Unreal ready via ARKit.
2025-2026 EU Vulcanus in Japan Fellow
🇪🇺🇯🇵 EU-Japan Centre for Industrial Cooperation - Tokyo, JapanEU-Japan Centre for Industrial Cooperation For 2025-2026 edition, among 500+ candidates with STEM degrees from all EU, selected as 1 of 23 participants for the industrial internship program "Vulcanus in Japan" (initiative co-funded by the European Commission and the Japanese METI). About the EU-Japan Centre: the Centre is co-funded by the European Commission and the Japanese Ministry of Economy, Trade & Industry. It manages managerial training courses, seminars, researches, student internships and other services all designed to help bring EU and Japanese businesses together. The EU-Japan Centre is member of Enterprise Europe Network.
Data Scientist
🇮🇹 at HPA, Math to Innovate - Trento, ItalyHPA Designed and shipped a suite of AI-native tools for autonomous agents: a privacy-preserving search layer (custom SearXNG backend, now core in several RAG pipelines), an AI-Agent / DB-Agent architecture for low-latency grounded retrieval, and LLM-powered automation pipelines that replaced manual multi-step operations. Owned the full path to production (observability, testing, fallbacks) and led enablement sessions to scale adoption across teams.
Intern as Machine Learning Engineer
🇮🇹 at HPA, Math to Innovate - Trento, ItalyHPA Built BonsaiParser, a modular document parsing framework with smart image filtering and enrichment optimized for RAG pipelines. Fine-tuned WASTE, a computer vision model for waste recognition, applying advanced image processing to improve detection accuracy. Designed a multi-agent system to orchestrate and optimize feature extraction in RAG workflows, improving contextual retrieval quality.
- 2025-2026 EU Vulcanus in Japan Fellowship (one of 23 selected across Europe from 500+ applicants)
- Check LinkedIn for full list of certifications
- NLP
- LLMs
- Python
- PyTorch
- TensorFlow
- Deep Learning
- Dialog Systems
- Instruction Tuning
- SQL
- Leadership
- Public Speaking
- Social Impact
- Italian (Native)
- English (Fluent)
- Japanese (Basic)