UX/UI Designer & AI Consultant
UX/UI Designer & AI Consultant: research, interfaces and AI products for SMEs and product teams.
The thread
In all my projects, technology does the repetitive work: it reads, compares, calculates and flags. The person stays at the centre and has the last word.
The principle has grown with me, one project at a time.
Projects · most recent first
A person who signs a file prepared by AI must be able to trust every item.
The AI interprets, the code calculates, a person checks and signs. Every data point shows its source.
Concept on a real product · fictional company and data
In systematic reviews, the repetitive phases, such as duplicates, filters and metadata, are a heavy load for researchers.
The system flags duplicates, the researcher decides. Every choice leaves a trace.
Master’s thesis
Most food waste happens at home, and it already starts with the shopping list.
The expiry date becomes readable for people and for the app. You decide before the fridge, when you write the list.
University team project · not affiliated with Conad
For people who dress sitting down, zips, buttons and standard cuts make it hard to dress alone.
The app and the Virtual Tailor help people dress on their own. The person chooses: do it alone or ask a tailor.
University team project
What I can do for you
Understand who will use the product before designing it, and measure if it works afterwards. Interviews, surveys, usability tests, AttrakDiff, heuristic evaluation.
Proof Simplify Review Conapp
From screen architecture to interface, with clickable prototypes in Figma and Framer that people can try.
Proof Simplify Review Conapp DODICI
Human-in-the-loop interfaces where the AI suggests and the person checks: data source, readable confidence, corrections you can undo, human approval. And a plan to measure adoption.
Proof Nyra
Prototypes that really work and automations with Make and the Claude API, to take an idea from the design file to everyday work.
How I work
I listen to people before I design.
Simplify Review25 survey responses and 5 interviews with researchers and PhD students, cross-checked with thematic coding.
5 whys and How might we, until there is one question.
DODICIFive “whys” from the difficult zip to the root cause: there is no research on this audience. Then the final question about everyday clothes.
Structure first, then the interface.
Simplify ReviewPaper, Miro, Figma and finally Framer, one level of fidelity at a time.
I test the prototype with people and measure with AttrakDiff.
ConappThe prototype in the hands of 18 people outside a supermarket in Siena, then the AttrakDiff questionnaire.
I start again from the weakest point.
Simplify ReviewAfter the test I worked on hedonic quality · identity, the lowest score (4.87), without losing clarity.
After iteration I go back to research: the method is a cycle.
With AI I use the same rules I put into products: the AI suggests, I check and decide, and every step leaves a trace. In Nyra the method is documented phase by phase.
About me
I am a UX/UI designer and AI consultant. I have a master’s degree from the University of Siena in Communication Strategies and Techniques, UX Design track. After seven months at Choralia working on AI in organisations, I founded LL Studio. With LL Studio I help SMEs introduce AI in a practical way.
I live in Ispica, in Sicily, and I work remotely.
Figma, Framer, Miro, Canva, Adobe Illustrator, Make, Claude API
Italian, native
English, B2
Contact
Tell me about it in a few lines. I work remotely and part-time with teams in Italy and Europe, in Italian and English.
