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Report abuseSecurity Research Intern at Huawei Research, Data Protection Lab, working on privacy-preserving authorization, post-quantum anonymous tokens, and authorization architectures for agent-to-tool interactions.
MSc Cybersecurity Engineering at Politecnico di Torino (GPA 29.48/30), expected October 2026.
My focus is agentic AI security and systems security, with hands-on work spanning agent authorization, MCP and tool security, Linux/eBPF verifier analysis, AI/ML for cybersecurity, and secure systems engineering.
Security Research Intern - Huawei Research / Huawei Data Privacy Lab
Researching privacy-preserving authorization, anonymous authentication, secure credentials, and policy-aware access control.
My work explores how systems can verify authorization while limiting unnecessary identity disclosure, with particular interest in how these ideas apply to AI agents, tools, APIs, and other security-sensitive interactions.
From LLMs to Secure Agents - Author and maintainer of a source-grounded learning project focused on understanding agentic systems and their security boundaries.
It covers agent architectures, context, memory, tools, identity, execution, MCP, multi-agent systems, threat modeling, evaluation, and secure design.
VitaeContext - Co-creator and maintainer of an MIT-licensed, local-first framework for giving AI agents reusable, evidence-bounded career context.
It provides reusable agent skills, a CLI, and a stateless MCP server for working with structured private context across different AI environments.
Repo · Usage Docs · npm
MSc Cybersecurity Engineering - Politecnico di Torino, Italy GPA 29.48/30 · Expected October 2026
BSc Computer Engineering - Universita degli Studi del Sannio, Italy 101/110 · Graduated June 2024 · Thesis
Give your AI agents grounded, reusable career context.
An early-alpha, visual, source-grounded guide from agent architecture to secure agentic AI systems.
JavaScript 5
eBPF verifier bypass PoCs on Linux LTS 6.8 - kernel privilege escalation via logic bugs & ISO-IEC TS 17961 violations.
Python 3
FFNNs, GNNs & Transformers (BERT, UniXcoder) for malware detection, zero-day NIDS and MITRE ATT&CK tactic classification.
Python 4
Full-stack financial management platform for IEEE-HKN chapter treasurers - 1st place, IEEE-HKN International Hackathon 2025
JavaScript
Project for Machine Learning for Networking Exam @ Polito - SSH Shell Attacks Analysis: a project to classify attacker tactics and identify patterns in 230,000 honeypot-captured Unix shell attacks …
Jupyter Notebook 2
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