Designing and delivering mission-critical supervisory platforms that underpin financial stability, protect consumers, and strengthen market integrity. Operating at the intersection of regulation, data, and technology, I architect solutions that enable the Central Bank to evolve into a modern, data-driven SupTech organization.
My work focuses on translating complex regulatory mandates into scalable, production-grade architectures while balancing resilience, auditability, and operational efficiency. I am particularly passionate about applying Cloud, Generative AI and Agentic Workflows within highly controlled environments to augment supervisory capabilities without compromising governance.
Impact & Strategic Contributions
- SupTech Enablement: Architected supervisory technology platforms that enhance data ingestion, validation, and analytical capabilities — empowering supervisors with faster, higher-quality insights for risk-based decision-making.
- XBRL & Regulatory Data Fabric: Designed and implemented solutions for EU-compliant XBRL reporting (EBA, EIOPA, ESMA), establishing a standardized regulatory data layer that supports automated validation, variance analysis, and scalable supervisory analytics.
- DORA & Operational Resilience: Led architecture initiatives aligned with the Digital Operational Resilience Act, embedding resilience-by-design principles across critical services, including third-party risk oversight and incident reporting pipelines.
- Supervisory Modernization: Transitioned regulatory reporting patterns from batch-oriented workflows toward near real-time data acquisition, materially reducing compliance latency and improving supervisory responsiveness.
- Data Governance & Semantic Modeling: Promoted taxonomy-driven design and canonical data models to ensure traceability from regulatory text → data point model → technical implementation — strengthening audit readiness and regulatory defensibility.
- Cloud & Platform Strategy: Advanced secure cloud adoption within a regulated context, introducing platform capabilities that support elasticity, zero-trust principles, and policy-driven controls.
- AI in the Public Sector: Exploring pragmatic applications of Generative AI for supervisory use cases such as document intelligence, regulatory interpretation support, and knowledge augmentation — always anchored in explainability and model risk management.
How I Create Value
I specialize in environments where technology is inseparable from public trust. My approach combines strategic architecture with execution pragmatism:
- Converting regulation into actionable architecture
- Designing for scrutiny, not just scale
- Optimizing for long-term operability over short-term delivery
- Enabling supervisors — not just systems
Ultimately, my goal is to help build a supervisory ecosystem that is proactive rather than reactive, leveraging SupTech, structured data, and intelligent automation to safeguard the financial system.
