I am a Data Architect, AI Researcher and Publisher with over 20 years of experience designing enterprise data solutions and, more recently, studying AI research. After a long career bridging data management and analytics across global organizations, I shifted my focus to AI research in 2021, exploring the societal and technological transformations driven by artificial intelligence.
In 2025, I published my first major research works on AGI and AI governance. Through this blog, I continue to share practical strategies, thought leadership, and emerging insights to empower businesses and individuals navigating the AI-driven future.
My Expertise
With over two decades of experience architecting enterprise data platforms and delivering analytics solutions for global organizations (e.g., Department of Justice, Google, Apple, European Commission), I have built a solid foundation in data management, data engineering, and cloud-driven data architectures.
Over the past four years, my professional focus has evolved toward AI research and innovation. I have specialized in integrating Generative AI, Large Language Models (LLMs), and automation frameworks into regulated environments, helping organizations transform legacy data systems into AI-enabled infrastructures.
In 2025, I released my first research publications, including “Post-AGI Research, Societal Transformation, and the Consciousness Horizon” and “The AGI Landscape in 2025: Competition, Governance, and Emerging Paradigms”. These works reflect my deep commitment to understanding and shaping the future of AI, governance, and societal evolution.
Today, my expertise lies at the intersection of data architecture, AI-first automation, agentic workflows, and responsible AI adoption, with a passion for helping organisations harness emerging technologies for strategic advantage.
My Blog Topics
- AI Innovation and Research: Exploring trends in AGI development, the societal impact of AI, governance models, and future paradigms.
- Intelligent Automation: Showcasing how AI agents, prompt engineering, and omnimodal content generation can accelerate digital transformation and operational efficiency.
- Data Architecture for the AI Era: Best practices for designing scalable, AI-integrated data systems that meet compliance, security, and business intelligence needs.
- Responsible AI & Governance: Insights into implementing AI solutions responsibly, including compliance with frameworks like the EU AI Act.
- Applied Data Science and NLP: Practical tutorials and case studies on how to leverage LLMs and AI-driven data analysis for real-world problem-solving.
- Emerging Technologies: Deep dives into the latest tools, platforms, and innovations shaping the AI and data landscape.
I invite you to embark on this data management journey with me, and together, let’s uncover the incredible potential of data-driven decision-making.
You can contact me via social networks on LinkedIn and Twitter.