Where I turn ideas into working software fast, with AI as my pair — and test design decisions in real interfaces instead of mockups.
I start by using AI to research the problem, the people it affects and what already exists, before I design or build anything.
Then I design the flows and the interface myself. I decide what to build and why, and let AI draft it.
I test it against what the research found and put it in front of users, and I fix what does not hold up.
Then I ship it. A working product in real hands teaches more than another round of mockups.
Client: Revwald (Pvt) Ltd.
A one-line pitch for what this does and who it's for.
Replace this with two or three sentences: the problem you noticed, what you built, and what makes it interesting. This card is a placeholder that shows how a project will look.
Client: Revwald (Pvt) Ltd.
A second placeholder, so you can see the grid.
Projects sit in a two-column grid on desktop and a single column on phones. Add a screenshot for a richer card.
A product is only useful if people and machines can find it. Alongside design, I make sites easy for search engines, answer engines and AI assistants to read, understand and quote.
Setting the site up in Search Console, submitting the sitemap and checking how Google indexes the pages.
The same for Bing, whose index also feeds other search engines and AI assistants.
Replacing generic markup with semantic HTML: real headings, landmarks and lists, plus structured data, so the page structure is clear to machines.
Writing clear, answer-first copy: page titles, descriptions, FAQs and case-study text that serve the reader and the search.
Plain-text versions of the site (llms.txt and llms-full.txt) that AI assistants can read and cite accurately.
Open Graph and Twitter card tags, so a shared link shows the right title, description and image.
This portfolio uses all six. View its source to see them at work.