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About

I work above and below the interface.

Software → Product / UX → Design leadership → Artificial intelligence → Research → AI system implementation

I started in software, with a software degree from MCAST, then moved deeper into product and UX. Over time I became more interested in the systems behind the interface: how decisions get made, where work gets repeated, and where software can remove effort nobody should be spending.

I led UX/UI design at Catena Media, and I'm a Research Officer at the University of Malta, where I also completed an MSc in Artificial Intelligence. Those two sides came together when I started building: an automated product-operations workflow at Catena, and TDi, a tender intelligence system that ACHV now uses for tender preparation.

I work above and below the interface: understanding the business problem, designing the workflow and using AI and software to turn the direction into a working system. I use modern AI tools heavily, but the goal is not to put AI everywhere. Part of the work is deciding where a model helps, where normal software is more reliable and where a person should stay in control.

I'm based in Malta and work remotely, taking on consulting engagements, fractional product and AI leadership, and selected contract work.

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AI & automation

  • AI workflow design
  • Human-in-the-loop systems
  • Workflow automation
  • Document intelligence
  • AI prototyping

Product

  • Product discovery and strategy
  • Requirements and prioritisation
  • Product intelligence
  • Workflow architecture

UX / design

  • UX and interaction design
  • Information architecture
  • Design systems and governance
  • Accessibility

Technical

  • AI system implementation
  • AI-assisted software development
  • Rapid full-stack prototyping
  • API integration

Education

MSc Artificial IntelligenceUniversity of Malta · 2022–2024

BSc (Hons.) Multimedia Software DevelopmentMCAST · 2015–2018

Research

Publications and applied research

Tools

Figma · Claude · ChatGPT · n8n · Jira · Confluence · GA4 · Hotjar · Notion · HTML/CSS

Location

Malta · Remote

Above the interface: strategy, process, research and UX. Below it: software, AI, automation and implementation.

How I think

The interface is one layer of a larger system.

  1. Systems over isolated screens

    Any screen can be redesigned. A system that produces good outcomes repeatedly is the real work, and it should not depend on heroics.

  2. Evidence over opinion

    Every recommendation should trace back to a business problem, a user behaviour or a testable hypothesis.

  3. Automation over repetition

    If a task keeps repeating, question it. Use AI where it actually helps, and plain logic where that does the job better.

  4. Governance over documentation alone

    Rules in a document get ignored. Rules built into the tool or the process hold.

  5. Human judgement where it matters

    AI output is something a person reviews, corrects and owns. Systems should be designed around that review.

  6. Outcomes over decoration

    Design that cannot be connected to a result is preference, not strategy.