AI Research Engineer working at the intersection of agentic systems, AI security, world models and reinforcement learning.
Currently Research Intern at NAVER LABS on neural combinatorial optimization — latent-space model-based RL and tree search for sequential decision-making under combinatorial constraints.
CS Architect (Security & AI) at Microsoft, adversarial attack vectors on LLM inference pipelines, threat-intelligence workflows and reproducible infrastructure for AI experimentation.
First-author paper accepted at NIME 2026 — "Exploring Real-Time Gestural Control of Vocal Synthesis" (IFT × MIT Lab-affiliated, collab. LPP Sorbonne Nouvelle).
MSc Computer Science & Cybersecurity @ ESILV — GPA 4/4, ranked #2 of cohort · EuroTech Fellow (top 1% EU tech talent).
At the intersection of research, security, and systems that actually ship.
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Adapted Joint-Embedding Predictive Architectures for self-supervised representation learning, latent prediction and world-modeling of drug-perturbed single-cell & microbiome dynamics.
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DefTech Research Student Federation — 1st in EU.
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Internal experimentation platform for evaluating local-LLM-assisted workflows and agentic AI systems.
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| 🏅 | Achievement |
|---|---|
| 1st / ~450 | Stanford Hackathon — XAI airspace security (solo) |
| 1st / 180 | GenAI Hack (AWS · NVIDIA) — multimodal RAG geo-risk platform, sold for €50K, impact on €40B ESG assets |
| 1st / ~400 VC · 3rd / ~400 jury | EU Web3 Hackathon — €100K prize pool, €500K backing |
| 3rd / 50 | Microsoft Agentic Systems |
| 3rd / ~260 | DeepMind Agentic Cybersecurity |
| 1st | SAP Software Engineering (2018) · CTF school winner (2024) |
| 🎓 | Merit scholarship €3,000 (2022) · Top 1% high school (101.5 / 120) |
Systems & Languages
AI / ML
AI Security
Privacy & Cryptography
Spoken languages — 🇫🇷 French (native) · 🇬🇧 English (fluent) · 🇮🇹 Italian (beginner)

