Principal-level UX designer & strategist for AI-native enterprise systems. Eighteen years turning sprawling B2B ecosystems at Docusign, Cisco and VMware into coherent experiences, from the information architecture down to the interface.
Open to: Principal Product Designer · UX Architect · Staff+ AI experience roles
Four featured cases, each proving a different principal-level skill. Earlier work is in the archive.
A Service-AI framework and the Quick Quote tool. AI assembles estimates and proposals; the rep reviews and owns every number. Piloted with 37 sellers, now used by 1,750.
Proves: Shipping AI with measurable outcomes
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An agentic operating system for revenue teams. One pilot is in flight; every figure here is a design target until it reports.
Proves: Setting org-wide direction
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Employees called the internal AI tool “clunky” and “terrible”. The redesign made it findable, understandable and trusted.
Proves: Craft and design quality
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Journey maps and an API-based information architecture for a fragmented partner ecosystem.
Proves: Architecture at global scale
Read the case studyTHE THROUGH-LINE
Three of my strongest cases share one subject: the people who sell, and the systems that get in their way.
Reusable frameworks that outlived the projects they came from. Each one is a tool teams still use to make decisions.
MODEL A — HUMAN / AGENT SPLIT
Applied in: HARP
MODEL B — INTERACTION TIERS
Applied in: HARP
MODEL C — PRINCIPLES AS TESTS
Applied in: HARP
HOW I WORK WITH AI
I prototype in code with AI. For HARP, that meant a clickable future-state prototype of about 25+ screens, built so the ten principles could be tested before engineering started.
Great internal tools don’t just work; they build confidence. Parag designs experiences that turn complex, high-stakes tasks into ones employees can understand, trust, and complete efficiently.
Through Parag's ecosystem mapping, it literally brought our different stakeholders on the same page.