Open Source Intelligence Analyst · Computational Social Science · Hybrid Threats & Illicit Networks
I design deterministic data pipelines, computational social simulations, and forensic-grade software for intelligence and security research. My work bridges empirical sociological theory (structural holes, anomie, rationality regimes) with low-level software engineering: stdlib-first architectures, POSIX compliance, cryptographic chain of custody, and auditable data pipelines.
My research operates at the intersection of computational sociology, intelligence analysis, and security studies:
- Hybrid Threats & Information Operations: Multi-agent simulation of coordinated inauthentic behavior (CIB), narrative laundering, astroturfing, and algorithmic amplification.
- Organized Crime & Illicit Economies: Social Network Analysis (SNA) of criminal ecosystems, economic infiltration in local production districts, and corporate opacity.
- Radicalization & Armed Mobilization: Network topologies, structural brokerage, and organizational resilience within clandestine groups.
- Theory-Driven Multi-Agent Modeling: Simulating social dynamics using explicit formal frameworks (Goffman's identity performance, Weberian rationality regimes, Mertonian anomie, Bourdieu’s field/capital, and Granovetter/Burt network theory) rather than opaque black-box predictive models.
| Repository | Focus & Architecture | Standards & Ecosystem |
|---|---|---|
eml-forensics |
Deterministic e-Discovery & digital forensics engine for .eml corpora. MIME parsing, SHA-256 chain of custody, CAdES .p7m unwrapping, conversation DAG latency/blackout metrics, and orientation-aware OCR. |
Python stdlib core, RFC 5322, OpenSSL, POSIX CLI, CI matrix (3.10–3.14) · 108 unit tests, 86% coverage |
albo-search |
Unified CLI search engine for Italian official professional registries (Lawyers, Accountants, Cassa Forense, Interior Ministry). Headless automation across legacy JSF/PrimeFaces endpoints. | Python stdlib core, XDG Base Directory, POSIX exit codes, 71 unit tests, 66% coverage |
cleanrepo |
Pre-publish OPSEC and anti-leak scanner. Detects cloud credentials, private keys, local paths, private networks, and high Shannon-entropy tokens with native Git staged/history inspection and ROT13 wordlists. | Zero dependencies, Git hook integration, SARIF 2.1.0 output · composite Action · 77 unit tests, 86% coverage |
Combined suite coverage across the three toolchains: 256 unit tests — deterministic, fully offline, CI-verified on Python 3.10–3.14.
| Repository | Focus & Methodology | Technical Stack |
|---|---|---|
TallyHo |
Complete Italian municipal electoral time series (1946→present) parsed from ministerial open data with full audit trail and validation. | Python CLI, Parquet/CSV/JSON/XLSX, 90+ tests, Zenodo DOI |
Arachne-Scholar |
Local-first, offline knowledge graph engine for academic literature using Subject-Verb-Object (SVO) dependency parsing. | Python, NetworkX, Local NLP |
hybrid-kg-paper |
Experimental framework comparing deterministic NLP dependency graphs with LLM-extracted knowledge graphs across scientific corpora. | Python, Reproducibility GED 0.0 |
Languages & Core : Python (3.10+, Standard Library first), Bash / POSIX Shell, SQL, LaTeX
Forensics & Data : MIME RFC 5322, PKCS#7/CAdES, SHA-256 Custody, OpenSSL, Pandas, Polars, Parquet
Network & Text : NetworkX, Gephi, Graphviz (DOT), Spacy (SVO Dependency), Tesseract OCR
Systems & Security : Linux / POSIX environments, Git internals, CI/CD (GitHub Actions), SARIF, OPSEC
Theory & Modeling : Multi-Agent Systems, Computational Sociology, Scenario & Risk Analysis
M.Sc. in Sociology and Social Research — Università degli Studi di Torino (2023 – 2026)
Final Grade: 110/110 cum laude
Thesis: "Economic Networks and Illicit Practices in the Prato District: A Sociological Analysis of the Chinese Presence Between Mafia Infiltration and Community Self-Regulation"
Certificate: Future Scenarios Lab — Università degli Studi di Torino (2025)
Methodological frameworks for future-scenario forecasting, causal link identification, and risk analysis.
Certificate: Algorithms & Society Lab — Università degli Studi di Torino (2025)
B.A. in Political Science — Università degli Studi di Firenze (2019 – 2023)
Final Grade: 103/110
Thesis: "New Technologies, Old Inequalities: A Critical Analysis of Digital Human Resources"
- Italian: Native
- English: Professional proficiency (B2/C1)
- Spanish: Working proficiency (B1)
- Mandarin Chinese: Elementary proficiency (A2 — active study for OSINT research)
- GitHub: @jack89-ML
- LinkedIn: jacopoperacchio
- Email: jacopo.peracchio@protonmail.com
Operating Unit: MicroRack Systems — Computational pipelines, research automation & intelligence tooling.
All software and research published here adhere to research-grade standards: deterministic, documented, and fully auditable.