Line A ? Adaptive artificial intelligence applied to personal wellness.
Longitudinal N-of-1 applied study, conducted for over one year, on the integration of multimodal data for clinical-functional decision support. The activity involved daily acquisition of data from biometric sensors, haematochemical and urine tests, wearable devices, structured dietary logging, phenotypic imaging, and validated subjective signals. The methodology led to the development of a set of adaptive frameworks for monitoring distinct physiological domains (metabolic, renal, electrolytic, autonomic, psychoendocrine) and to the formalisation of the methodological findings in patent application IT (see the Patent Applications section). The study produced an original clinical observation regarding the differentiation between athletic-origin pseudo-pathological forms and genuine nephropathies through the integration of multimodal signals. The patent application has been submitted to international examination and technically defended with a new set of claims
Line B ? Deterministic verification of AI-generated software artefacts.
Methodological research on the asymmetry between the near-zero marginal cost of code generation via large language models and the persistently high cost of verification. The proposed approach treats every AI-generated artefact as a falsifiable hypothesis subjected to a structured multi-stage validation pipeline, with mathematical formalisation of the pipeline as a composition of deterministic functions, explicit gate semantics, integration of static analysis, supply-chain verification, knownvulnerability evaluation, and cryptographic attestation of the verification run. The activity was accompanied by the development of in-house working tools for static analysis and CI/CD orchestration, and culminated in a working paper (March 2026, see the Publications section).
Line C ? Data governance and local inference architectures for artificial intelligence.
Research and outreach on architectural approaches to data governance in AI, centred on the principle that the choice of where a model is executed is itself a data governance decision. The activity explores local inference as a concrete alternative to third-party commercial cloud services for institutional, corporate, and sensitive-data-processing contexts, including analysis of the risks of model memorisation and information exfiltration. An in-house NIS2 compliance audit methodology was developed, based on a structured questionnaire organised by regulatory domain. The activity produced educational writing on LinkedIn with significant engagement from an international technical audience.
Certifications
Education
1995 - 1999
Diploma di Geometra (Italian Surveying Diploma, secondary-school level) ? Istituto Tecnico per Geometri,
Vibo Valentia, grade 90/100.
I have been active in the IT sector for over 20 years, working with state institutions and strategic organisations on complex projects of national and European security relevance. My career has focused on security, technological innovation, and the design of advanced systems that address the critical needs of institutions and strategic infrastructures. Among my most significant projects is the development of a distributed communication and control system for the Hellenic Coast Guard, designed to manage and modernise communication with their obsolete radios through Digital Signal Processing (DSP) technologies. This system, based on Linux and Asterisk, made it possible to integrate modern PBX systems, SCADA networks, and naval communication systems, guaranteeing operational continuity and communication security in highly critical contexts. I also developed innovative components, such as digital modulators and demodulators, written entirely in C/C++. In parallel, I have worked on supercomputing systems for scientific computing and cybersecurity, contributing to projects of strategic relevance for Italy and Europe. I have implemented advanced legally-binding digital signature solutions and designed highly secure infrastructures, including hybrid cloud architectures and systems supporting the operational resilience of critical infrastructures. The applied research and development activity has resulted in the filing of six patent applications in different technological domains (digital signature, secure document management, anti-DDoS, encrypted exchange systems, and artificial intelligence applied to personal wellness), and in three research lines active in parallel throughout 2025?2026: adaptive artificial intelligence applied to personal wellness deterministic verification of AI-generated software artefacts, formalised in a 2026 working paper; data governance and local inference architectures for AI, with methodological reflection on compliance with the European cybersecurity regulatory framework. My technical competencies range from Kubernetes, Docker, and Ansible to languages such as Python and C/C++ ? tools I have used to build innovative, secure, and scalable systems. My mission is to contribute to strengthening the technological capabilities of institutions, ensuring security, reliability, and innovation for the future.
Selected Projects
Technical Skills
Line A ? Adaptive artificial intelligence applied to personal wellness.
Longitudinal N-of-1 applied study, conducted for over one year, on the integration of multimodal data for clinical-functional decision support. The activity involved daily acquisition of data from biometric sensors, haematochemical and urine tests, wearable devices, structured dietary logging, phenotypic imaging, and validated subjective signals. The methodology led to the development of a set of adaptive frameworks for monitoring distinct physiological domains (metabolic, renal, electrolytic, autonomic, psychoendocrine) and to the formalisation of the methodological findings in patent application IT (see the Patent Applications section). The study produced an original clinical observation regarding the differentiation between athletic-origin pseudo-pathological forms and genuine nephropathies through the integration of multimodal signals. The patent application has been submitted to international examination and technically defended with a new set of claims
Line B ? Deterministic verification of AI-generated software artefacts.
Methodological research on the asymmetry between the near-zero marginal cost of code generation via large language models and the persistently high cost of verification. The proposed approach treats every AI-generated artefact as a falsifiable hypothesis subjected to a structured multi-stage validation pipeline, with mathematical formalisation of the pipeline as a composition of deterministic functions, explicit gate semantics, integration of static analysis, supply-chain verification, knownvulnerability evaluation, and cryptographic attestation of the verification run. The activity was accompanied by the development of in-house working tools for static analysis and CI/CD orchestration, and culminated in a working paper (March 2026, see the Publications section).
Line C ? Data governance and local inference architectures for artificial intelligence.
Research and outreach on architectural approaches to data governance in AI, centred on the principle that the choice of where a model is executed is itself a data governance decision. The activity explores local inference as a concrete alternative to third-party commercial cloud services for institutional, corporate, and sensitive-data-processing contexts, including analysis of the risks of model memorisation and information exfiltration. An in-house NIS2 compliance audit methodology was developed, based on a structured questionnaire organised by regulatory domain. The activity produced educational writing on LinkedIn with significant engagement from an international technical audience.
Certifications
Education
1995 - 1999
Diploma di Geometra (Italian Surveying Diploma, secondary-school level) ? Istituto Tecnico per Geometri,
Vibo Valentia, grade 90/100.
I have been active in the IT sector for over 20 years, working with state institutions and strategic organisations on complex projects of national and European security relevance. My career has focused on security, technological innovation, and the design of advanced systems that address the critical needs of institutions and strategic infrastructures. Among my most significant projects is the development of a distributed communication and control system for the Hellenic Coast Guard, designed to manage and modernise communication with their obsolete radios through Digital Signal Processing (DSP) technologies. This system, based on Linux and Asterisk, made it possible to integrate modern PBX systems, SCADA networks, and naval communication systems, guaranteeing operational continuity and communication security in highly critical contexts. I also developed innovative components, such as digital modulators and demodulators, written entirely in C/C++. In parallel, I have worked on supercomputing systems for scientific computing and cybersecurity, contributing to projects of strategic relevance for Italy and Europe. I have implemented advanced legally-binding digital signature solutions and designed highly secure infrastructures, including hybrid cloud architectures and systems supporting the operational resilience of critical infrastructures. The applied research and development activity has resulted in the filing of six patent applications in different technological domains (digital signature, secure document management, anti-DDoS, encrypted exchange systems, and artificial intelligence applied to personal wellness), and in three research lines active in parallel throughout 2025?2026: adaptive artificial intelligence applied to personal wellness deterministic verification of AI-generated software artefacts, formalised in a 2026 working paper; data governance and local inference architectures for AI, with methodological reflection on compliance with the European cybersecurity regulatory framework. My technical competencies range from Kubernetes, Docker, and Ansible to languages such as Python and C/C++ ? tools I have used to build innovative, secure, and scalable systems. My mission is to contribute to strengthening the technological capabilities of institutions, ensuring security, reliability, and innovation for the future.
Selected Projects
Technical Skills