color.brand = #B5532F
A design system, built by prompting Figma
I set up the tokens first, then directed Claude to build 44 components in Figma against them. Change the brand colour and every component above follows the same token.
click anything · drag things around

I'm a senior product designer for enterprise and B2B software. For four years I've designed the tools people use all day at work: multi-role workflows, operational dashboards and AI features. I started as an engineer, so what I design gets built the way it was drawn.
Location intelligence, an AI stylist, a multi-role workflow and an operations dashboard. Click any card for the full case study.
A location-intelligence product expansion teams use to decide where to open next. Built 0→1 on 25,000+ data points.
Led UX for Lenskart's conversational AI stylist, lifting conversion by 37% across 11 languages.
One workflow for brokers, BD and brand teams, with +17% conversion and 700+ enterprise users onboarded.
An alert-first dashboard that puts 28 stores in one view and turns every issue into tracked work.
Three chapters: where I started, where I grew, and what I'm working on now.
I studied cloud technology and information security, then worked as a full-stack developer at United Telecoms.
Writing production code taught me how products really get built: data models, APIs, permissions, edge cases. I moved into design to shape what gets built, and I still design with the build in mind.
At Axtria I designed enterprise analytics. Then I joined GeoIQ as its founding product designer, was promoted to senior, and stayed through its acquisition by Lenskart.
I was often the primary or only designer, owning products from the first sketch to scale: location intelligence, property sourcing, store operations and an AI shopping assistant.
At Testsigma I design an AI-driven platform used by engineering and QA teams at enterprise scale. Same job as always: a complex system, several roles, and a clear next step for each of them. My engineering background helps here more than anywhere.
The work is under NDA. The design problem I can talk about: when AI agents do part of the work, how does an enterprise team see what happened, trust it, and decide where a person still needs to step in?
Enterprise products are judged on whether people can do their job with them every day. This is how I make sure they can, and how I make sure what I design actually ships.
// metric-card.tokens.json { "card": { "padding": "{space.4}", // 16 "radius": "{radius.md}", // 12 "maxWidth": "250px", "label": "{type.label.md}", "value": "{type.display.sm}", "delta": { "up": "{color.text.success}", "down": "{color.text.danger}" } } }
I map every role before any screens: who sees what, who acts, who approves. MarketConnect brought three roles onto one record this way.
Dashboards lead with the issue, then the evidence, then the action. People managing many things at once need attention, not more charts.
Recommendations and automation stay visible and reversible, so users stay in control. That's how B.ai earned a +37% conversion lift.
Named tokens, every state drawn, feasibility checked in week one. My developer years make the handoff a lookup, not a meeting.
The things teams usually ask about after the portfolio review: how I start, how I disagree, and what I do when a problem has no clean design answer.
I like understanding why we're building something before I start designing it. If the problem is still fuzzy, I'll usually spend more time asking questions before opening Figma.
rule no. 1: a brief nobody can explain isn't ready
Small projects where I use AI and code to go from idea to something real. Each one is playable here, with a short write-up behind it.
color.brand = #B5532F
I set up the tokens first, then directed Claude to build 44 components in Figma against them. Change the brand colour and every component above follows the same token.
A working property-leasing flow built in code, so stakeholders tested real steps instead of static frames. Try it.
Designed and built in code: one token system, nine desk objects in the hero and a messy / tidy toggle. This is the same idea in miniature.
I wanted to find out whether I could direct a design system in Figma through conversation, and keep my time for the decisions that need a designer.
Claude connected to my Figma file through the Figma MCP integration. Plus Jakarta Sans for type and a purple signature colour as the anchor for the palette.
A working library of 44 components across 14 frames, built on one token set.
AI is quick at the volume. Deciding which states a component needs, what things are called and when something is good enough is still design work, and it was where most of my time went.
Static screens were slowing down feedback on a property leasing flow. I built it as a working web app so people could click through it instead of imagining it.
A RetailIQ-branded property leasing application in a light theme, set in Kumbh Sans with a purple primary.
A clickable leasing app in two forms: a single HTML file for reviews and a component build for handoff.
A prototype that runs gets better feedback than one that has to be explained. Building it in components also surfaced state and data questions early.
A portfolio for someone who designs with engineering in mind should show it. So this one is built in code, and it lets you look under the hood.
Hand-written HTML, CSS and a little JavaScript, paired with AI. Geist for everything, Newsreader italic for the occasional accent, and Geist Mono for labels and code, a quiet nod to where I started.
Designing in the final medium removes a whole round of translation. What you see here is the spec.
Try it: switch the hero between Messy desk and Tidy desk.

Bengaluru, India · designwithayushi@gmail.com · designwithayushi.work · LinkedIn
Download PDF résumé ↗Senior Product Designer with 4+ years designing B2B SaaS and enterprise platforms end to end, after starting as a full-stack developer. I design multi-role workflows, data-heavy dashboards, design systems and AI features, with an engineering eye for feasibility. Led UX for an AI stylist that lifted online conversion by 37% on a platform with ~2.5M monthly active users, and took two products from 0→1.
Building enterprise or B2B software with many roles, a lot of data or AI in the loop? I'd love to hear what you're working on.
Hi Ayushi,
we're building something complex and would love your eyes on it.