I am a UI/UX designer with 2.5 years at EY GDS, where I have mostly worked on enterprise AI tools and dashboards that help teams make faster decisions. I care a lot about reducing clutter and making sure the most important thing on a screen is actually the most visible thing.
I am a UI/UX designer at EY GDS in Noida, where I have spent the last 2.5 years working on enterprise products — mostly AI tools, dashboards, and internal platforms used by consulting teams. It is the kind of work where the data is complex and the users are busy, which I genuinely enjoy figuring out.
My degree is actually in mechanical engineering from NIT Kurukshetra, which sounds unrelated but it shaped how I think. Engineering taught me to understand systems before touching solutions, and that is still how I approach design problems today.
Outside of work, I travel whenever I can, I have been watching anime for years (used to make edits too, which is how I got into video editing), and I spend time in After Effects and Premiere Pro just for fun.
I am based in Noida and currently open to new opportunities. Whether it is a role, a collaboration, or just a conversation about design, feel free to reach out. I try to get back within a day.
PrepMind is a personal project I have been working on. An MBA exam prep platform designed around the idea that studying is stressful enough without the app adding to it. Most prep platforms throw everything at you at once. I wanted to design something that felt more like a structured plan than a content dump.
PrepMind is a mental-wellbeing-first MBA exam preparation platform. Most prep platforms give you content and leave you to figure out the rest. I wanted to design something that actively reduces the stress of preparation, not just the academic difficulty.
The goal was simple: help aspirants prepare consistently without burning out. The differentiator is the wellbeing layer — 1-on-1 mentor access and therapy sessions built directly into the product. No other coaching platform does this.
The problem is not that students do not have enough resources. It is that they have too many, with no structure to use them, and no support when things get hard mentally.
Design challenge: How might we create a structured, low-stress preparation system that improves consistency without overwhelming users?
I ran a survey targeting CAT and MBA aspirants at different stages of preparation. The goal was to understand not just what they needed academically, but what made them quit or slow down.
Based on research, a primary persona emerged: non-engineers with strong verbal skills, struggling with quant confidence and study consistency.
Rohit is strong in verbal but loses confidence the moment quant appears. He is not lazy, he overthinks and gets paralysed by choice. He needs the app to tell him exactly what to do today, not give him another menu to navigate.
Mapping the journey revealed that the problem is not at the start. Aspirants begin motivated. The real friction points are in the middle stages, where structure breaks down and emotional difficulty sets in.
Each question came directly from a pattern in the research data, not invented in a workshop.
Every feature was tied back to a specific research insight. Nothing was added because it felt like a good idea, only because a user behaviour or pain point demanded it.
The IA was designed to feel like four clear rooms, not a drawer of tabs. Each module has a single job and does not bleed into another.
Cent started from a frustration I think a lot of people have. You spend money on UPI all day, get SMS alerts you immediately forget, and then feel vaguely guilty at the end of the month without knowing where it all went. I wanted to design something that tracked your spending without you having to think about it. The whole project was built around one idea: what if financial awareness was just something that happened, rather than something you had to do?
Cent started from a frustration I think a lot of people have. You spend money on UPI all day, get SMS alerts you immediately forget, and then feel vaguely guilty at the end of the month without knowing where it all went. I wanted to design something that tracked your spending without you having to think about it.
Most expense tracking apps I looked at made the problem worse by adding more steps. Log in, find the add transaction button, fill in amount, category, account, save. By that point you have already forgotten the context. I wanted to design something where being financially aware required almost no effort at all.
The issue is not that people do not want to track their spending. Most people I spoke to genuinely wanted to be more aware of where their money was going. The issue is that every existing solution required effort at exactly the wrong moment, right after you have just paid for something and want to move on.
I looked at two things in research: how people actually behave around money day-to-day, and what is specific to the Indian context that most expense apps are completely ignoring.
Two personas came out of the research pretty clearly. Both wanted the same outcome, financial clarity, but their relationship with effort was completely different. Riya would use the app if it was fast enough. Aman would only use it if it was invisible.
Mapping the current journey made it obvious where the problem was. It was not that people did not care, it was that the window between spending and awareness was too wide. By the time someone opened a tracking app, the moment had passed and the motivation had gone with it.
Each question came from a specific user behaviour pattern observed in research.
The feature list was built by going through every step in the painful journey and asking what would need to exist to make that step disappear. Anything that added effort was cut or pushed to advanced.
The navigation was designed around the assumption that most users will only ever look at the home screen. If the home screen answers how am I doing today, most people do not need to go anywhere else. Everything else exists for users who want to go deeper.
These are estimated numbers based on the behavioural research, comparable fintech app data I found publicly, and what I would realistically expect given the specific friction points Cent removes.
This was probably the most challenging project I have worked on. I designed five AI tools from scratch including an interview guide generator, project charter builder, transaction analysis tool, value creation suite, and a diligence copilot. Each one had its own use case and user type, but they all shared the same core challenge: how do you design an interface where the main output is generated by an AI and the user needs to trust it, review it, and act on it?
Health insurance claims reviewers process a huge number of cases every day, and the existing workflow made it hard to know where to focus. I was brought in to design a straight-through processing interface that surfaced the most urgent claims immediately. The core question I kept coming back to was: what does a reviewer need to see in the first three seconds?
A performance tracking dashboard for a CPG sales team. What made this interesting was that two very different types of users, field reps and strategy managers, were looking at the same data but for completely different reasons. The design challenge was building one dashboard that served both without confusing either.
This one started with a clear problem: users could find data in the tool but they could not easily do anything with it. The benchmarking workflows also had data security requirements, so I added locked file states and access-controlled uploads as part of the redesign.
A cross-business-unit analysis tool used at strategy and CFO level. The data involved multiple business units, margin types, and overhead allocations, all of which needed to be comparable side by side without requiring constant view-switching.