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Shurtug4l/README.md

Simone La Porta

Analyst · Data & AI Ethics @ Deloitte Advisory
ISO/IEC 42001 Lead Auditor · Cybersecurity Specialist

LinkedIn · GitHub · Email

$ whoami
────────────────────────────────────────────────────────────────────────────
  simone@deloitte ~
   LOCATION    Turin, Italy
   ROLE        Analyst · Data & AI Ethics @ Deloitte Advisory (Milan)
   CERTS       ISO/IEC 42001 Lead Auditor · Cybersecurity Specialist (EPICODE)
   FOCUS       AI Governance · Agentic AI Risk · Cybersecurity
   INTERESTS   LLM red-teaming · agentic-AI threat modeling · ML supply chain
   EDU         MSc Astrophysics & Cosmology, University of Bologna
   NOW         AI Solutions Architect master · ProfessionAI
               ▶ current module: Agentic AI
────────────────────────────────────────────────────────────────────────────
$ _

$ cat about.md

  • Day job. AI risk assessment and trustworthy-AI implementation for Deloitte clients (EU AI Act, ISO/IEC 42001, NIST AI RMF). Cyber side: ISO 27701 assessments, policy drafting, awareness campaigns.
  • Background. MSc Astrophysics & Cosmology, University of Bologna — thesis on automatic differentiation for gravitational lensing (PyTorch / TensorFlow).
  • Publication. Co-author of an AI Human Rights Impact Assessment paper, LSAI 2025.
  • Currently studying. AI Solutions Architect master at ProfessionAI — on the Agentic AI module right now (see master.log below).

$ tree ~/focus

focus/
├── ai-engineering/                · building this skill (master + side work)
│   ├── llm-applications           · LangChain · prompt pipelines · output parsers
│   ├── rag-systems                · ChromaDB · BM25 hybrid retrieval · chunking
│   ├── agentic-ai                 · multi-agent orchestration · tool use
│   ├── ml-pipelines               · feature engineering · model selection
│   └── solution-architecture      · cloud AI services · scalable deployment
│
├── ai-governance/                 · day job @ Deloitte
│   ├── risk-management            · tooling & agentic-AI risk framework
│   ├── compliance                 · EU AI Act · ISO/IEC 42001 · NIST AI RMF
│   ├── trustworthy-ai             · fairness · transparency · robustness
│   └── human-rights-iA            · LSAI 2025 paper
│
├── cybersecurity/                 · day job @ Deloitte
│   ├── policy-development         · drafting & reviewing (public + private)
│   ├── assessments                · ISO 27701 · access audits · gap analyses
│   ├── awareness                  · phishing campaigns · cookie consent (OneTrust)
│   └── frameworks                 · ISO 27001 · NIST CSF · NIS2
│
└── ai-security/                   · research interest
    ├── llm-red-teaming            · prompt injection · jailbreaks
    ├── agentic-systems            · tool-use abuse · multi-agent failures
    ├── ml-pipeline-threats        · supply chain · model integrity
    └── hardening                  · defense-in-depth for AI architectures

$ stack --grouped

ml core ──────   scikit-learn · NumPy · Pandas · SciPy
                 regression · classification · clustering · model selection
                 cross-validation · feature engineering · pipelines

deep learning    PyTorch · TensorFlow · Keras · Pyro (probabilistic)
                 CNNs · MLPs · automatic differentiation

nlp ──────────   HuggingFace Transformers · sentence-transformers
                 NLTK · Gensim (Word2Vec) · spaCy
                 tokenization · embeddings · NER · text classification

llm / rag ────   LangChain (core · text-splitters · runnables · parsers)
                 Ollama (local LLMs) · ChromaDB (vector store)
                 BM25 (rank_bm25) · hybrid retrieval · prompt engineering
                 chunking strategies · output parsing · RAG evaluation

agentic ai ───   multi-agent orchestration · tool use · planner/executor
                 (in study via the current master module)

mlops / cloud    Solution architecture · CI/CD for ML · Containers (Docker)
                 Cloud AI services (AWS · GCP · Azure) · model serving
                 scalable AI systems · monitoring (in progress)

viz ──────────   Matplotlib · Seaborn · Plotly

data ─────────   SQL (MySQL · MariaDB) · MongoDB · CSV / JSON pipelines
                 large-scale astro datasets (former research)

languages ────   Python · Lua · C · Bash · Fortran · SQL

standards ────   EU AI Act · ISO/IEC 42001 · NIST AI RMF
                 ISO 27001 · ISO 27701 · NIST CSF · NIS2

cybersecurity    network    · Wireshark · TCPdump · pfSense
                 pentest    · Nmap · Metasploit · Burp Suite · SQLmap · Nessus
                 malware    · IDA Pro · OllyDbg · Splunk
                 practice   · HackTheBox · TryHackMe

systems ──────   Windows · Linux · macOS · virtualized environments

$ ls ~/work · experience

Dec 2024 – now    Analyst · Data & AI Ethics
                  Deloitte Advisory · Milan
                   ├─ AI risk management tooling & agentic-AI risk framework
                   ├─ trustworthy-AI guidelines for international public sector
                   ├─ ISO 27701 assessments · cyber policy · access audits
                   └─ phishing campaigns · awareness · cookie consent (OneTrust)

Nov 2022 – 2023   Research Intern · ML for Astrophysics
                  INAF / OAS · Bologna
                   ├─ ML models (PyTorch, TensorFlow) for gravitational lensing
                   └─ deep learning to accelerate large-scale astro pipelines

2018 – present    STEM Tutor · Mathematics & Physics
                  Freelance + schools (Modena · Bologna)

$ tail -f ~/professionai/master.log

AI_solutions_architect_course — hands-on projects per module. Public repo, updated as I progress.

✓ done · ▶ in progress · ◌ planned
────────────────────────────────────────────────────────────────────────────
✓  Python Programming           warehouse order monitoring system
                                [Python · stdlib · dataclasses · pathlib]

✓  Machine Learning             defective-parts classification pipeline
                                [scikit-learn · NumPy · Pandas · Matplotlib
                                 · Seaborn · MLP · RF · SVM · KNN · PCA]

✓  Large Language Models        RAG for company knowledge base
                                [LangChain · Ollama · ChromaDB · BM25
                                 · sentence-transformers · HF Transformers
                                 · NLTK · Gensim · hybrid retrieval]

▶  Agentic AI                   multi-agent orchestration   (in progress)
                                [planner/executor agents · tool use
                                 · agent frameworks]

◌  Business Case & AI PM        vision → deployment of an AI system
◌  Cloud for AI                 multi-cloud AI infrastructure (AWS · GCP · Azure)
◌  AI Service Deployment        delivery-time prediction in production
                                [Docker · CI/CD · model serving · monitoring]
◌  Data Governance & KM         governance framework for a pharma company
◌  Solution Design              scalable architecture for AI systems
◌  AI Architecture Security     risk & vulnerability analysis of an AI system
◌  Governance & Compliance      AI governance framework for a fintech
────────────────────────────────────────────────────────────────────────────

Direct links to the completed work:

  • 00_python_programming — order monitoring system (pure Python)
  • 01_machine_learning — classification pipeline + 7 exercises (preprocessing, regression, regularization, classification, clustering, NNs, face recognition)
  • 02_large_language_models — hybrid RAG (vector + BM25) + 4 exercises (text analysis, NER with BERT, LangChain pipelines, chatbot)
  • 03_agentic_ai — multi-agent orchestration (in progress)

$ cat education.md

2025 – now        AI Solutions Architect (Master) · ProfessionAI
2024              Cybersecurity Specialist · EPICODE
2018 – 2024       MSc Astrophysics & Cosmology · University of Bologna
                   Thesis: Applications of Automatic Differentiation
                           in Gravitational Lensing (PyTorch · TensorFlow)
                   Supervisors: Prof. L. Moscardini · Dr. M. Meneghetti
2014 – 2018       BSc Astronomy · University of Bologna
                   Thesis: Formazione delle Galassie
                   Supervisor: Prof. D. Dallacasa

$ cat publications.md

  • AI Human Rights Impact Assessment — co-authored, LSAI 2025.

$ ls ~/.dotfiles · tooling

editor      Neovim 0.11        · lazy.nvim · LSP · Treesitter · Copilot
shell       zsh                · Powerlevel10k · autosuggestions · syntax-hl
terminal    WezTerm / Ghostty  · Catppuccin Macchiato · JetBrainsMono NF
search      fzf · ripgrep · zoxide · bat
git         lazygit · gh CLI
ai          Claude Code · GitHub Copilot · local LLMs via Ollama
notes       Obsidian
runtime     Python (conda) · Lua · Go · C

$ langs

italian   ████████████████  native
english   ██████████████░░  C1
spanish   ██████████████░░  C1

$ streak

GitHub streak

$ exit
logout

Pinned Loading

  1. CS0424IT CS0424IT Public

    Repository for my Cybersecurity Specialist course @ EPICODE -> CS0424IT.

    Python 1