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Ajith Alphonse

💼 Product Designer · AI, enterprise systems & commerce

📍 Salt Lake City, Utah

5+ Years of Experience

Portrait of Ajith Alphonse

Adobe · Product Design · Enterprise · ~8 min read

From content velocity to campaign confidence

Designing a readiness layer for AI-scaled campaigns: launch blockers, downstream impact, and judgment under constraint — without redesigning the Adobe tools teams already use.

Enterprise Systems Tradeoffs Proposed
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Adobe GenStudio logo on a blue ribbon over a red illustrated background

Flipkart · Product Design · Payments · 2024

When the customer doesn’t know if the payment went through

Post-pay UX owned end to end: confidence gates, refused unsafe retries, and recovery that keeps the order — without pretending the ledger is certain.

Payments Recovery Trust Checkout Product Design
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Flipkart Payments case study thumbnail — Flipkart logo on a blue background

Adobe Firefly · Contract · Product Design · 8–10 min read

From prompting to creative control

Intent-first refinement in Adobe Firefly: what I owned, the tradeoffs behind localized edits over full regeneration, and how the product moved toward control after generation.

8–10 min read Ownership Tradeoffs Generative AI Editing
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Adobe Firefly wordmark beside an iPad showing a select-and-prompt edit on a mountain landscape

Flipkart · Product Design · AI Discovery · 8–10 min read

From keyword search to intent-aware discovery at Flipkart

A senior case study on interpreting what shoppers actually meant: what I owned, the tradeoffs behind explained result clusters over a flat list, and an honest account of what the work proved.

8–10 min read Ownership Tradeoffs AI Search Product Impact
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Flipkart — from keyword search to intent-aware discovery, 8 to 10 minute case study

VYN · Product Design · HRI · 8–10 min read

Owning both sides of a human–robot product: campus users and fleet operators

A senior case study on splitting one autonomous system into two products: what I owned, the tradeoffs behind hiding robotics from users and giving operators an attention queue, and an honest account of what the work proved.

University of Utah 8–10 min read Ownership Tradeoffs HRI Fleet Ops
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Oracle NetSuite

AI-Assisted PDP Workflow Redesign

Self-initiated workflow optimization for the University of Utah Campus Store, reducing PDP publishing time from 30–40 minutes to under 10 minutes.

University of Utah Enterprise UX Workflow Optimization
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Oracle NetSuite AI-Assisted PDP Workflow Redesign thumbnail