Story Journey
AI/data student building accessible product interfaces and evidence-rich learning tools.
Moved from isolated UI exercises to documented React interfaces with accessibility checklists.
What I learned
Readable components, keyboard states and design tokens make portfolio proof easier to trust.
View proof
Storybook coverage, accessibility notes, release changelog
Certificates
Google UX Foundations
Turned campus workflows into full-stack prototypes with API documentation and deployment notes.
What I learned
Recruiters understand projects faster when outcomes and proof sit next to the code links.
Started pairing interface craft with local AI experiments, benchmarks and explainable decisions.
What I learned
AI output needs user approval, editing and traceable evidence before it belongs in a public profile.
Refining case studies around product thinking, interface quality and measurable proof-of-work.
What I learned
A living portfolio should show growth, not just a static list of past work.
Recommended focus: publish two AI-assisted interface case studies and add deployment evidence for the cloud track.