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Hi, I am Purti

A Lead Product Designer building the future of
AI-native products.
I bridge design foundations with intelligent automations to create fulfilling user experiences.

Currently leading Product Design at Acelab

Skilled in B2B, B2C, Enterprise Software and AI Technologies

View Selected Work

Created by Dmytri

Acelab

·

Shipped · 2026

RFI Loop

A data-request loop between architects and manufacturers, inside the schedule

~1 day turnaround, down from 11.4 days

B2B SaaS · 0→1 · Design system

Cove.tool

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Shipped · 2023–24

Covesive Design System

One design system for cove.tool’s platform and five tools, built on IBM Carbon

Shipped in Figma and code across five tools

Design system · Accessibility · B2B SaaS

Cove.tool

·

Concept · 2023

Revgen.tool Admin Settings

Redesigning admin and permission settings as one admin became hundreds of users

B2B SaaS · Systems design · Permissions

Ada Tech × PUMA

·

Alpha Demo Live · 2022–23

ADA Tech x Puma

AI-powered analytics that turns footwear design intuition into data

20% lift in usability · 95% user satisfaction

AI · Analytics · User research

Project Stree · NGO

·

Live · Pro bono

Project Stree

Rebranding a period-poverty non-profit for donations and volunteers

Branding · Web · Service design

UMass Chan Medical School

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Internship · 2023

Maternal Health Care App

A maternal-health ecosystem for first-time parents in rural India

Showcased at the 2023 G20

HealthTech · Mobile · Service design

Northeastern University

·

Proposal · 2023

My Charlie App

Digitizing Boston’s Charlie Card into a mobile-first transit app

Proposal sent to the MBTA

Mobile · Public transit

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Shipped as a paid Enterprise Pro feature · post Series A

In work mode..
Designing is only half the job.
The rest is listening, collaborating, learning and always staying curious.

What is my north star when designing for complex B2B/Enterprise ecosystems?

I systematically audit workflows to strip away cognitive load, ensuring that high-density data remains intuitive, scannable, and actionable.

How I design for AI features where the output can be unpredictable or ambiguous?

How I align engineering constraints with UX vision on technically complex products?

When a design system must support both legacy data and AI-native workflows, how do you handle the friction?

🌱

Beyond Work or
know more About Me! :)