Data & AI Ethics Analyst @ Deloitte
AI Risk Management | AI Governance & Compliance | Cybersecurity | Astrophysics Background
I operate at the intersection of AI risk management, governance, and cybersecurity — supporting organizations in building AI systems that are secure, auditable, and compliant with regulatory frameworks.
Currently at Deloitte Advisory, my work spans two core areas:
- AI Risk Management: risk identification, assessment, and mitigation strategies for AI systems, with focus on agentic AI architectures and autonomous decision-making systems
- AI Governance & Compliance: alignment with EU AI Act, ISO/IEC 42001, NIST AI RMF, and emerging regulatory standards
- Trustworthy AI Evaluations: auditing AI systems for fairness, transparency, explainability, robustness, and accountability
- AI Agents Risk Assessment: analyzing risks specific to LLM-based agents, multi-agent systems, and human-in-the-loop architectures
- Policy Development: drafting and reviewing cybersecurity policies, procedures, and guidelines for private enterprises and public sector entities
- Risk Assessment: conducting security risk assessments, gap analyses, and compliance evaluations against frameworks (ISO 27001, NIST CSF, NIS2)
- Security Governance: supporting clients in establishing security governance structures and incident response protocols
MSc Astrophysics & Cosmology — University of Bologna
Thesis: Applications of Automatic Differentiation in Gravitational Lensing (PyTorch, TensorFlow)
AI Solutions Architect — ProfessionAI (in progress)
Comprehensive program covering the full AI solution lifecycle:
- Core AI/ML: Machine Learning, Large Language Models, Agentic AI
- Architecture & Cloud: Solution design, cloud services for AI, deployment pipelines
- Governance & Security: AI ethics, compliance, data governance, information security
- Product & Strategy: Business case development, AI product management
Cybersecurity Specialist — EPICODE
Penetration testing, AI security, SOC operations, threat analysis
AI & Machine Learning
Python | PyTorch | TensorFlow | Keras | Scikit-learn
LangChain | HuggingFace | LLM Integration | Agentic AI Frameworks
NumPy | Pandas | Matplotlib | Plotly | SciPy
Cloud & MLOps
AI Cloud Services | Model Deployment | CI/CD for ML | Containerization
Solution Architecture | Scalable AI Systems
Cybersecurity
Penetration Testing | Vulnerability Assessment | Threat Modeling | SOC Operations
Nmap | Metasploit | Burp Suite | Wireshark | Splunk | Kali Linux
Frameworks & Standards
EU AI Act | ISO/IEC 42001 | NIST AI RMF | ISO 27001 | NIST CSF | NIS2
Programming & Data
Python | C | Bash | SQL (MySQL, MariaDB, MongoDB) | Git
- Risk assessment for autonomous AI agents and multi-agent systems
- End-to-end AI solution architecture with embedded governance
- Regulatory compliance strategies for high-risk AI applications
- Security policy frameworks for AI-enabled infrastructures
- Bridging technical AI implementation with ethics and compliance requirements