Based in Hyderabad · Open to Bangalore

AI-powered design
that ships
in code.

14 years in product design. I design with AI, build with code, and ship behavioral systems for complex products — without the handoff.

14+

6+

4+

40M+

Selected Work

Three real problems. Three real solutions.

All work
MoEngage navigation before and after redesign

Case Study 01

MoEngage Information Architecture

Redesigned a legacy multi-team IA to reduce navigation time by 40%, cut support complaints by 50%, and establish a shared structural standard across engineering and product silos.

Navigation Time: −40%Support Complaints: −50%CSAT Increase: +15%
Information ArchitectureSystems Design
MPL Rummy 7-day behavioral task journey UI

Case Study 03

MPL Rummy — D7 Retention System

Designed a 7-day behavioral task journey that increased Day 7 new user retention by 12.7% by engineering a minimum viable habit loop calibrated for early-lifecycle psychology.

D7 Retention Lift: +12.7%Behavioral Mechanics: 3 CoreShipped In: 1 Month
Behavioral DesignRetention
Cricket betting funnel redesign showing match selection UI

Case Study 04

Cricket Betting — Conversion Redesign

Revamped the cricket betting decision funnel. Identified that low conversion was driven by cognitive overload at match selection — not intent mismatch. Achieved 2× lift in a controlled A/B test.

Conversion Lift: Baseline → Variant: 8% → 32%Test Type: Controlled A/B
ConversionBehavioral Design

Design Pulse

What the industry is reading right now.

Live

What I do

Design that runs on AI and ships in code.

01

AI-Augmented Design

I use LLMs as design partners — generating IA maps, stress-testing copy, and prototyping behavioral flows. AI runs at 10x speed; I direct where it goes.

02

Vibe Coding

I build what I design. Next.js, TypeScript, Claude API — I prototype in code, not Figma. The gap between design and engineering closes when I own both.

03

Behavioral Loop Design

Retention isn't a feature. It's a sequence of designed moments calibrated to lifecycle stage. Day 1 psychology is not Day 30 — and the product shouldn't pretend otherwise.

04

Information Architecture

I map products as systems. Navigation, hierarchy, taxonomy — structural decisions that cascade into every screen. I fix structure before touching pixels.

05

Agentic UX Patterns

Designing for AI-native products means new interaction primitives. I explore how agents, copilots, and autonomous flows change the surface of design.

06

Metrics-First Iteration

Define success before the first wireframe. Ship. Measure. Correct the loop. No six-week research phases — rapid cycles with clear signals.

The vibe coding process

Prompt. Design.
Build. Ship.

AI accelerates every phase. Judgment, taste, and behavioral thinking remain human. Here is how the two combine.

See it in case studies

01

Prompt the problem space

Before wireframes — I use AI to rapidly map the system, surface edge cases, and pressure-test the problem framing. Speed of insight before speed of execution.

02

Design the decision, not the screen

Every surface is a decision point for the user. I design what choice they're making and what they need to make it well — AI helps me generate 10 framings fast.

03

Build it, don't mockup it

I prototype in code. Real interactions, real data, real edge cases. A Next.js prototype reveals more in one day than a month of Figma flows.

04

Close the loop with data

Ship isn't done. I instrument for the hypothesis, read the signal, and run the correction cycle. AI helps me spot anomalies humans miss in dashboards.

Design Philosophy

How I think about design.

01

Design × Code, not Design then Code

I build what I design. Vibe coding with AI closes the handoff gap entirely — the prototype is the spec, the spec is the product. No translation loss.

02

AI as a thinking partner, not a shortcut

LLMs generate options at speed. I bring the judgment on what to select, why it fits the user's lifecycle stage, and where the model's output is confidently wrong.

03

Systems over surfaces

Behavioral loops, IA models, retention mechanics — I work at the system level before any pixel is placed. AI helps me map the system; I decide what it means.

What people say

The humans who worked alongside.

Ajay is very goal-oriented and objective. He gives thoughtful feedback that can be taken ahead to arrive at a fruitful outcome. He creates a supportive and welcoming work environment. Above all, he's very meticulous. He's a great manager! I take immense joy in saying that he teaches and supports me every day about the product and the process in so many ways.
Pritha Saha

Pritha Saha

Senior Product Designer

Reported to Ajay · MPL

I have worked with Ajay over the last couple of years and it was a privilege. Ajay brings a sound data-driven approach to product design. Under his ownership, the Rummy and Call Break businesses at MPL have grown with customer experience improving many fold. He values experimentation and iterative design cycles with a no-nonsense impact-driven approach. He is truly an asset to any team that is lucky enough to have him.
Rachit Rastogi

Rachit Rastogi

Gaming Industry Leader, BLAST+

Managed Ajay · MPL

I directly managed Ajay in my past role. What strikes me most about his contribution to the team was his hunger to learn, willingness to go the extra mile and his infectious positive attitude. He has the right sensibilities needed of a User experience designer and has the right technical skills to back them up. His turnarounds are quick and well detailed and he will be an asset to any team.
Rahul Ajmera

Rahul Ajmera

Head of Design & Co-founder, Twist Open UX

Managed Ajay directly

Let's build something

Have a hard problem?
Let's vibe-code it.

I'm selective about new engagements — I work best on complex problems where structure and behavioral clarity are the real blockers.

Get in touch View case studies