Product Designer · Product Manager · Enterprise & AI Systems · Bangalore, India

Hey there, Yaazh here

I make complex products make sense.

I design at the intersection of UX, product thinking, and technology — turning complex enterprise data, financial systems, and AI into clear, trusted experiences.

Explore my work ↓ About my background

The Philosophy

My work starts before the screen.

Complex products rarely have one isolated issue or an obvious fix. I dive into the messy parts first: mapping fragmented workflows, untangling technical constraints, and identifying where the experience actually breaks down.

Then I partner with product, engineering, and users to turn that clarity into buildable product direction.

Understand the system.

Find the real problem.

Make the complexity legible.

Capabilities

Where I tend to be most useful

01 — Making Sense of Complexity Systems UX

Bringing together fragmented documentation, technical constraints, and user context to build a shared mental model in unfamiliar, high-stakes domains.

02 — Finding the Problem Behind the Problem Product Thinking

Looking beyond surface interface complaints to fix the broken workflows and decision gaps that force users into offline workarounds.

03 — Turning Ambiguity into Direction 0-to-1 Definition

Shaping undefined product briefs into clear journeys, interactive prototypes, and validated roadmaps that multidisciplinary teams can build toward.

Selected Work

Case Studies

Two in-depth studies: untangling existing legacy systems vs. defining an AI product from 0 to 1 under ambiguity.

01 Financial Operations Engine

Oracle Financial Services

AFCS — Making Sense of Complexity

Untangled 15+ functional silos across 4 squads to map a unified 6-stage operational pipeline — replacing disconnected manual ERP exports with an active financial sense-making loop.

Systems UX 15+ Silos Usability Testing

Explore Case Study →

02 Enterprise Data & AI Systems

0-to-1 Product Definition

AI Data Companion — From “Add AI” to an Actual Product

Turned a vague mandate into a concrete product model — structuring bounded domains (Groups & Products), designing for asynchronous wait states, and establishing the core agency principle: AI assists; humans decide.

0-to-1 Definition Async Interaction Figma + Codex

Explore Case Study →

Methodology

How I work

1. Start with the user's goal.

Understand what they are actually trying to achieve — not just the task the system currently gives them.

2. Understand the system.

The interface reflects underlying schemas, APIs, and business rules. Fix the system model to fix the screen.

3. Challenge the obvious solution.

The best answer often isn't a prettier version of an existing screen — it's changing the workflow itself.

4. Make ideas tangible early.

Use diagrams, storyboards, and interactive prototypes (Figma + Codex) to make product ideas concrete for discussion.

5. Bring people into the process.

Partner continuously with Product, Engineering, QA, and domain experts to validate and build direction together.

Focus Areas

What I'm exploring

AI as a Product Capability

Identifying where AI genuinely relieves cognitive grind rather than just adding superficial features.

Human-in-the-Loop UX

Designing experiences where AI suggests and explains, while humans validate, refine, and decide.

Complex Enterprise Systems

Making high-stakes tools intuitive and legible without hiding the depth operators actually need.

Product Thinking via Design

Using design exploration to help teams discover what should be built in the first place.

Background

A little about me

I'm a Product Designer and Product Manager at Oracle Financial Services Software, working on complex financial and enterprise platforms.

My background combines UX design, product strategy, user research, and prototyping. That combination pulled me upstream — helping teams understand ambiguous problems, shape product direction, and make confident decisions.

“I'm happiest when I can connect the dots in a complicated problem until someone says: ‘Oh. Now I understand.’”

📍 Bangalore, India

LinkedIn → Email → Resume →

Let's Collaborate

Have a complicated problem?

I'd love to hear about it. Let's make it clear, tangible, and buildable.

Let's talk →